共查询到20条相似文献,搜索用时 31 毫秒
1.
Rod Bryant 《GPS Solutions》2002,6(3):138-148
A key requirement for emergency call location (e.g. E911), for robust operation of location-based m-commerce systems and for
telematics systems is that the location technology be able to operate in urban canyons and inside buildings. We start from
a definition of the target environments, which includes multi-level parking garages, office buildings and homes, but not underground
parking garages or tunnels. Based on experience in these target environments and understanding of typical applications we
derive specific requirements for sensitivity and acquisition speed. The primary problems associated with weak signal operation
are as follows. (1) In conventional GPS receivers sampling at the correlator output typically occurs at a sampling interval
of the order of 1 ms. With weak signals, however, the signal-to-noise ratio of these samples is too low to support lock-in
of a phase-locked or frequency-locked loop. (2) With weak signals, the signal-to-noise ratio is too low to support the extraction
of the 50BPS navigation message from the signal. Therefore, aiding data is required from an external source. (3) Because the
data cannot be extracted, it is not possible for the receiver to synchronize to the incoming bits, words or subframes. Therefore,
it is not possible to construct pseudoranges without prior information. (4) The paper describes Sigtec Navigation's subATTO technology. This technology provides sensitivity down to –185 dBW (19 dBHz assuming NF of 1.5 dB and no other implementation
loss). This is 5 dB below an attoWatt (10–18 W) and has been shown to provide reliable positioning inside buildings, multi-level parking garages and in urban canyons
without any aiding at all. The paper describes the patented signal processing scheme, how ambiguity resolution and time synchronization
are achieved, the wireless assistance technique, the acquisition strategy and the use of scanning channels. Results are presented
from trials in a multi-level parking garage. The results obtained in most parking garages are similar to these in terms of
availability of fixes, signal strengths received and location accuracy achieved. The performance achieved in multi-level parking
garages is rarely worse than this. One of the major impediments to practical application of weak signal-processing schemes
is the limited dynamic range imposed by the GPS C/A code signal structure. This problem is discussed along with the problems
of multipath distortion in the context of telematics operation in urban canyons. A realistic urban accuracy goal of 20 m for
95% of fixes is proposed based on experience with GPS and dead reckoning. Enhancements under development will provide sensitivity
of –188 dBW, which will provide continuous availability within a broader range of indoor environments. For practical applications,
this will require the use of modern 'search engine' hardware for acceptable acquisition speed. As the paper shows, this sensitivity
is near the practical limit of sensitivity with acceptable acquisition times and dynamic capability.
Electronic Publication 相似文献
2.
We address the problem of estimating the carrier-to-noise ratio (C/N0) in weak signal conditions. There are several environments, such as forested areas, indoor buildings and urban canyons, where high-sensitivity global navigation satellite system (HS-GNSS) receivers are expected to work under these reception conditions. The acquisition of weak signals from the satellites requires the use of post-detection integration (PDI) techniques to accumulate enough energy to detect them. However, due to the attenuation suffered by these signals, estimating their C/N0 becomes a challenge. Measurements of C/N0 are important in many applications of HS-GNSS receivers such as the determination of a detection threshold or the mitigation of near-far problems. For this reason, different techniques have been proposed in the literature to estimate the C/N0, but they only work properly in the high C/N0 region where the coherent integration is enough to acquire the satellites. We derive four C/N0 estimators that are specially designed for HS-GNSS snapshot receivers and only use the output of a PDI technique to perform the estimation. We consider four PDI techniques, namely non-coherent PDI, non-quadratic non-coherent PDI, differential PDI and truncated generalized PDI and we obtain the corresponding C/N0 estimator for each of them. Our performance analysis shows a significant advantage of the proposed estimators with respect to other C/N0 estimators available in the literature in terms of estimation accuracy and computational resources. 相似文献
3.
Alireza Sharafzadeh Ali Esmaeily Maryam Dehghani 《Journal of the Indian Society of Remote Sensing》2018,46(11):1785-1793
Synthetic aperture radar (SAR) is a newly-developed remote sensing technology that works in all weather and independent of daylight. Recent satellite designs such as TerraSAR-x, which have resolutions of a couple of meters and sub-meters, have provided appropriate data for modelling and monitoring of urban areas. Image classification and height information extraction is possible considering the nature of SAR data. In this paper, a proper classification method for high-resolution SAR images has been used in urban areas. This classifier is based on statistical models. First, statistical models that are well adapted to urban SAR images are selected. Initial labelling is performed using the maximum likelihood method. A method based on Markov random fields is applied to improve the results by considering neighbourhood information. Meanwhile, topographic information is extracted using the phase difference obtained from SAR interferometry. After classification and height extraction, the homogeneous regions consisting of locations with similar objects are determined. The homogeneous region adjacency graph are generated using vectors containing classification information, extracted objects, height of pixels forming each region, and information on the neighbouring areas. Height and classification information are then merged by assigning height conditions based on the nature of objects and optimizing an energy function. The results obtained, including buildings, streets, and corner reflectors, are easily recognizable. The overall accuracy is improved from 57% in the initial classification to 95% in the employed procedure. Moreover, the accuracy of height estimation is about 2.74 m, which is acceptable for height estimations of buildings with more than one floor. 相似文献
4.
CHEN Xue MAJianwen 《地球空间信息科学学报》2007,10(2):121-123
The Householder transformation-norm structure function in L2 vector space of linear algebra is introduced, and the edge enhancement for remote sensing images is realized. The experiment result is compared with traditional Laplacian and Sobel edge enhancements and it shows that the effect of the new method is better than that of the traditional algorithms. 相似文献
5.
P. V. Nagamani Prakash Chauhan R. M. Dwivedi 《Journal of the Indian Society of Remote Sensing》2007,35(3):201-207
An artificial neural network (ANN) based chlorophyll-a algorithm was developed to estimate chlorophyll-a concentration using OCEANSAT-I Ocean Colour Monitor (OCM) satellite-data.
A multi-layer perceptron (MLP) type neural network was trained using simulated reflectances (~60,000 spectra) with known chlorophyll-a concentration, corresponding to the first five spectral bands of OCM. The correlation coefficient(r
2) andRMSE for the log transformed training data was found to be 0.99 and 0.07, respectively. The performance of the developed ANN-based
algorithm was tested with the global SeaWiFS Bio-optical Algorithm Mini Workshop (SeaBAM) data (~919 spectra), 0.86 and 0.13
were observed asr
2 andRMSE for the test data set. The algorithm was further validated with thein-situ bio-optical data collected in the northeastern Arabian Sea (~215 spectra), ther
2 andRMSE were observed as 0.87 and 0.12 for this regional data set. Chlorophyll-a images were generated by applying the weight and bias matrices obtained during the training, on the normalized water leaving
radiances (nL
W) obtained from the OCM data after atmospheric correction. The chlorophyll-a image generated using ANN based algorithm and global Ocean Chlorophyll-4 (OC4) algorithm was compared. Chlorophyll-a estimated using both the algorithms showed a good correlation for the open ocean regions. However, in the coastal waters
the ANN algorithm estimated relatively smaller concentrations, when compared to OC4 estimated chlorophyll-a. 相似文献
6.
Milan Burša Steve Kenyon Jan Kouba Zdislav Šíma Viliam Vatrt Vojtěch Vítek Marie Vojtíšková 《Journal of Geodesy》2007,81(2):103-110
The TOPEX/Poseidon (T/P) satellite alti- meter mission marked a new era in determining the geopotential constant W
0. On the basis of T/P data during 1993–2003 (cycles 11–414), long-term variations in W
0 have been investigated. The rounded value W
0 = 62636856.0 ± 0.5) m
2
s
−2 has already been adopted by the International Astronomical Union for the definition of the constant L
G
= W
0/c
2 = 6.969290134 × 10−10 (where c is the speed of light), which is required for the realization of the relativistic atomic time scale. The constant L
G
, based on the above value of W
0, is also included in the 2003 International Earth Rotation and Reference Frames Service conventions. It has also been suggested
that W
0 is used to specify a global vertical reference system (GVRS). W
0 ensures the consistency with the International Terrestrial Reference System, i.e. after adopting W
0, along with the geocentric gravitational constant (GM), the Earth’s rotational velocity (ω) and the second zonal geopotential
coefficient (J
2) as primary constants (parameters), then the ellipsoidal parameters (a,α) can be computed and adopted as derived parameters. The scale of the International Terrestrial Reference Frame 2000 (ITRF2000)
has also been specified with the use of W
0 to be consistent with the geocentric coordinate time. As an example of using W
0 for a GVRS realization, the geopotential difference between the adopted W
0 and the geopotential at the Rimouski tide-gauge point, specifying the North American Vertical Datum 1988 (NAVD88), has been
estimated. 相似文献
7.
Guolong Zhang Xu Tao Ze Zhang Yinxi Du Xin Lü 《Journal of the Indian Society of Remote Sensing》2017,45(2):361-367
Cotton aphid (Aphis gossypii) is considered as one of the most important agriculture pest for the cotton production. However, it is generally labor-intensive and time-consuming to obtain some information of Cotton aphid with conventional methods through direct measurement by sampling in the field. This study explores the potential of using a new method to obtain information of the Cotton aphid rapidly. In our study, the cotton canopy spectral indices (NDVI, VI_2, REDrefc, NIRrefc) and chlorophyll concentration, obtained from hand-held high spectrometer GreenSeeker and chlorophyll meter SPAD-502 and Cotton aphid amount derived from the artificial field-based survey were used to uncover the relationship between Cotton aphid amount and canopy spectral index and SPAD value of the cotton in city of Shihezi, China. The results showed that NDVI and NIRrefc were negatively related to Cotton aphid amount. VI_2 content had a significant and positive relationship with its amount. The non-linear three cubic models with alate Aphid amount as independent variables have been established between VI_2 value and alatae Aphid amount, which could explain 92.37 % of VI_2 value variance. SPAD values were also significantly and negatively correlated to the Aphid amount. The non-linear logarithm model with wingless Aphid amount as independent variables was the best for uncovering the relationship between SPAD value and wingless Aphid amount, which could explain 85.48 % of SPAD value variance. The results demonstrate the establishment of the function model provides a theoretical basis and techniques for indirect and rapid monitoring and management of Cotton aphid. 相似文献
8.
Classification is always the key point in the field of remote sensing. Fuzzy c-Means is a traditional clustering algorithm that has been widely used in fuzzy clustering. However, this algorithm usually has some weaknesses, such as the problems of falling into a local minimum, and it needs much time to accomplish the classification for a large number of data. In order to overcome these shortcomings and increase the classification accuracy, Gustafson-Kessel (GK) and Gath-Geva (GG) algorithms are proposed to improve the traditional FCM algorithm which adopts Euclidean distance norm in this paper. The experimental result shows that these two methods are able to detect clusters of varying shapes, sizes and densities which FCM cannot do. Moreover, they can improve the classification accuracy of remote sensing images. 相似文献
9.
Fernando A. López Mariano Matilla-García Jesús Mur Antonio Páez Manuel Ruiz 《Journal of Geographical Systems》2016,18(1):87-96
López et al. (Reg Sci Urban Econ 40(2–3):106–115, 2010) introduce a nonparametric test of spatial dependence, called SG(m). The test is claimed to be consistent and asymptotically Chi-square distributed. Elsinger (Reg Sci Urban Econ 43(5):838–840, 2013) raises doubts about the two properties. Using a particular counterexample, he shows that the asymptotic distribution of the SG(m) test may be far from the Chi-square family; the property of consistency is also questioned. In this note, the authors want to clarify the properties of the SG(m) test. We argue that the cause of the conflict is in the specification of the symbolization map. The discrepancies can be solved by adjusting some of the definitions made in the original paper. Moreover, we introduce a permutational bootstrapped version of the SG(m) test, which is powerful and robust to the underlying statistical assumptions. This bootstrapped version may be very useful in an applied context. 相似文献
10.
Z. Wiśniewski 《Journal of Geodesy》2009,83(2):105-120
The paper presents a method of estimating parameters in two competitive functional models. The models considered here are
concerned with the same observation set and are based on the assumption that an observation may result from a realization
of either of two different random variables. These variables differ from one another at least in the main characteristic (for
example, outliers can be realizations of one variable). A quantity that describes the opportunity of identifying a single
observation with one random variable is assumed to be known. That quantity, called the elementary split potential, is strictly
referred to the amount of information that an observation can provide about two competitive assumptions concerning the observation
distribution. Parameter assessments that maximize the global elementary split potential (concerning all observations), are
called M
split estimators. A generalization of M
split estimation presented in the paper refers to the theoretical foundation of M-estimation.
An erratum to this article can be found at 相似文献
11.
V. D. Patil P. B. Adsul L. S. Deshmukh 《Journal of the Indian Society of Remote Sensing》2007,35(4):351-359
The results emerged out of the studies on spectral reflectance under normal and nitrogen and phosphorus stress condition in
soybean (Glycine max L.) conducted at Marathwada Agricultural University experimental farm, Parbhani duringkharif 2004–05 showed that crop growth and bio-physiological parameters viz., Height, chlorophyll, leaf area index and total biomass
influenced by pest and disease and nutrient stress resulted in detectable spectral reflectance variation. Poor crop growth,
reduced canopy cover, chlorophyll content and biomass production are the effects observed in nutrient deficient crops. These
above changes in soybean crop were related to spectral indices (RVI and NDVI) that are resulted in discrimination of stressed
and normal (non-stressed) soybean crop. 相似文献
12.
A national level project on kharif rice identification and acreage estimation is being carried out successfully for several states in the country. A similar
methodology based on the temporal profile for identification and delineation of various land cover classes has been followed
for the Rabi rice acreage estimation. To define rabi rice, rabi season in India starts from November — February to March — June. Though the main growing season is predominantly winter but
the uncertainty of getting cloud free data during the season has resulted in the use of microwave data. A feasibility study
was taken up for early forecasting of the rabi rice area using microwave data. Hierarchical decision rule classification technique was used for the identification of the
different land cover classes. Land preparation, puddling and transplantation were the reasons for the specific backscatter
of rice growing areas. The increase or decrease in the SAR backscatter due to progress in the crop phenology or due to delayed
sowing respectively forms the basis for identifying the rice areas. In addition the potential of optical data of a later date
has been utilized in the form of various indices from bands including MIR to distinctly separate the late sown areas and also
the puddled areas from other areas. This study emphasizes the synergistic use of SAR and optical data for delineating the
rabi rice areas which is of immense use in giving an early forecast. 相似文献
13.
Representing the spherical harmonic spectrum of a field on the sphere in terms of its amplitude and phase is termed as its polar form. In this study, we look at how the amplitude and phase are affected by linear low-pass filtering. The impact of filtering on amplitude is well understood, but that on phase has not been studied previously. Here, we demonstrate that a certain class of filters only affect the amplitude of the spherical harmonic spectrum and not the phase, but the others affect both the amplitude and phase. Further, we also demonstrate that the filtered phase helps in ascertaining the efficacy of decorrelation filters used in the grace community. 相似文献
14.
A robust method for spatial prediction of landslide hazard in roaded and roadless areas of forest is described. The method is based on assigning digital terrain attributes into continuous landform classes. The continuous landform classification is achieved by applying a fuzzy k-means approach to a watershed scale area before the classification is extrapolated to a broader region. The extrapolated fuzzy landform classes and datasets of road-related and non road-related landslides are then combined in a geographic information system (GIS) for the exploration of predictive correlations and model development. In particular, a Bayesian probabilistic modeling approach is illustrated using a case study of the Clearwater National Forest (CNF) in central Idaho, which experienced significant and widespread landslide events in recent years. The computed landslide hazard potential is presented on probabilistic maps for roaded and roadless areas. The maps can be used as a decision support tool in forest planning involving the maintenance, obliteration or development of new forest roads in steep mountainous terrain. 相似文献
15.
S. Raut K. S. S. Sarma D. K. Das 《Journal of the Indian Society of Remote Sensing》2010,38(2):321-331
Irrigation water requirements of wheat and mustard crops grown in Western Yamuna Canal Command area were estimated using FAO
model CROPWAT with the help of agrometeorological and remote sensing data (1986–1998 and 2008). The variations in irrigation
water requirements of these two crops were judged by calculating coefficient of Variations (CVs) of yearly data. Crop coefficient
values were obtained through FAO (1993) method. Supervised Maximum Likelihood Classification (MXL) of IRS 1B image was done
to estimate area under wheat and mustard in the canal command. Water need was calculated from amount of supply and water requirement
for the whole area. Results showed that ETcrop values of both wheat and mustard varied very little over different years (CVs 4.7% and 5.6% respectively). Irrigation water
requirements of both these crops were having relatively large variations (CVs 14.1% and 22.6% respectively) which were mainly
because of high variations of their effective rainfall (CVs 61.1% and 69.2% respectively). In general, increase in amount
of irrigation enhanced the growth performance of the wheat crop. Increase in distribution equity within soil associations
slightly improved the growth performance of the wheat crop. Agro-climatic data merged with satellite image approximated the
deficiency of applied irrigation amount (549.5 ha-m for wheat and 692.7 ha-m for mustard) as compared to requirement. 相似文献
16.
Boris Kargoll Mohammad Omidalizarandi Ina Loth Jens-André Paffenholz Hamza Alkhatib 《Journal of Geodesy》2018,92(3):271-297
In this paper, we investigate a linear regression time series model of possibly outlier-afflicted observations and autocorrelated random deviations. This colored noise is represented by a covariance-stationary autoregressive (AR) process, in which the independent error components follow a scaled (Student’s) t-distribution. This error model allows for the stochastic modeling of multiple outliers and for an adaptive robust maximum likelihood (ML) estimation of the unknown regression and AR coefficients, the scale parameter, and the degree of freedom of the t-distribution. This approach is meant to be an extension of known estimators, which tend to focus only on the regression model, or on the AR error model, or on normally distributed errors. For the purpose of ML estimation, we derive an expectation conditional maximization either algorithm, which leads to an easy-to-implement version of iteratively reweighted least squares. The estimation performance of the algorithm is evaluated via Monte Carlo simulations for a Fourier as well as a spline model in connection with AR colored noise models of different orders and with three different sampling distributions generating the white noise components. We apply the algorithm to a vibration dataset recorded by a high-accuracy, single-axis accelerometer, focusing on the evaluation of the estimated AR colored noise model. 相似文献
17.
Earlier for the hard classification techniques contextual information was used to improve classification accuracy. While modelling
the spatial contextual information for hard classifiers using Markov Random Field it has been found that Metropolis algorithm
is easier to program and it performs better in comparison to the Gibbs sampler. In the present study it has been found that
incase of soft contextual classification Metropolis algorithm fails to sample from a random field efficiently and from the
analysis it was found that Metropolis algorithm is not suitable for soft contextual classification due to the high dimensionality
of the soft outputs. 相似文献
18.
S. K. Dubey A. S. Gavli S. K. Yadav Seema Sehgal S. S. Ray 《Journal of the Indian Society of Remote Sensing》2018,46(11):1823-1833
Early yield assessment at local, regional and national scales is a major requirement for various users such as agriculture planners, policy makers, crop insurance companies and researchers. This current study explored a remote sensing-based approach of predicting sugarcane yield, at district level, using Vegetation Condition Index (VCI), under the FASAL programme of the Ministry of Agriculture & Farmers’ Welfare. 13-years’ historical database (2003–2015) of NDVI was used to derive the VCI. NDVI products (MOD-13A2) of MODIS instrument on board Terra satellite at 16-day interval from first fortnight of June to second fortnight of October (peak growing period) were used to calculate the VCI. Stepwise regression technique was used to develop empirical models between VCI and historical yield of sugarcane over 52 major sugarcane-growing districts in five states of India. For all the districts, the empirical models were found to be statistically significant. A large number of statistical parameters were computed to evaluate the performance of VCI-based models in predicting district-level sugarcane yield. Though there was variation in model performance in different states, overall, the study showed the usefulness of VCI, which can be used as an input for operational sugarcane yield forecasting. 相似文献
19.
A. Kumar B. G. Marcot G. Talukdar 《Journal of the Indian Society of Remote Sensing》2010,38(3):501-512
We studied vegetation and land cover characteristics within the existing array of protected areas (PAs) in South Garo Hills
of Meghalaya, northeast India and introduce the concept of protected area network (PAN) and methods to determine linkages
of forests among existing PAs. We describe and analyse potential elements of a PAN, including PAs, reserved forests, surrounding
buffers as zones of influence, and connecting forest corridors, which collectively can provide old-forest habitat for wildlife
species linked across a landscape dominated by jhum (shifting cultivation) agriculture. ANOVA and Chisquare analyses of patch characteristics and forest tree diversity suggested
the presence of equally species-rich and diverse old forest cover (tropical evergreen, semi-evergreen and deciduous forest
types) in portions of unprotected private and community owned land, which could be designated as additions to, and network
linkages among, existing PAs. Such additions and linkages would help provide for conservation of elephants and existing native
forest biodiversity and would constitute a PAN in the region. Most (80%) of the total forest cover of the region belongs to
private or community owned land. Therefore, such additions could be formally recognized under the aegis of the 2003 amendments
of the Wildlife (Protection) Act 1972, which include provisions to designate selected forest patches within private lands
as Community Reserves. 相似文献
20.
Osama M. K. Kassem Habes A. Ghrefat Haider Zaman Awni T. Batayneh Saad Almogren Yousef Nazzal Eslam Elawadi 《Journal of the Indian Society of Remote Sensing》2016,44(1):91-99
Geological and structural mappings of Tayyib Al-Ism area were carried out using the rocks finite strain data, the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) data and the field based observations. To analyze the finite strain in the studied rocks, the Rf /? and Fry methods are applied to feldspar porphyroclasts and mafic grains from nine metavolcano-sedimentary samples (Hegaf Formation), four diorite-gabbros suite samples (Sawawin Complex), two meta-granite samples (Ifal suite) and five Zuhd alkali granite samples. The obtained data indicate traces of high to moderate level of deformation in the meta-granite and metavolcano-sedimentary rocks. The axial ratios along the XZ section range from 1.70 to 4.80 for the Rf/? method and from 1.50 to 4.50 for the Fry method. A sub-vertical trend of short axes in association with sub-horizontal foliation is also observed. These informations allow us to conclude that a finite strain in the deformed granitic rocks is of the same order of magnitude as in the metavolcano-sedimentary rocks. The contacts between the metavolcano-sedimentary and granitic rocks in Tayyib al Ism area were formed during the granitic intrusions along some of the faults under brittle to semi-ductile deformation conditions. These faults have significantly influenced the geometry and style of rifting in the Red Sea during the Neogene. The finite strain was accumulated in the area during the process of deformation, which superimpose the already existed nappe structure. It indicates that the nappe contacts formed during the accumulation of finite strain. In addition to finite strain analysis, band ratio images (3/1, 5/3, 7/5) and Principal Component Analysis (PCA) technique have been used, which proved effective in mapping geological and structural features of various rock bodies exposed in the study area. 相似文献