Seafloor sediment classification based on multibeam sonar data     

Zhou Xinghua  Chen Yongqi 《地球空间信息科学学报》2013,16(4):290-296

The multibeam sonars can provide hydrographic quality depth data as well as hold the potential to provide calibrated measurements of the seafloor acoustic backscattering strength. There has been much interest in utilizing backscatters and images from multibeam sonar for seabed type identification and most results are obtained. This paper has presented a focused review of several main methods and recent developments of seafloor classification utilizing multibeam sonar data or/and images. These are including the power spectral analysis methods, the texture analysis, traditional Bayesian classification theory and the most active neural network approaches.  相似文献   

Modelling electrical conductivity of soil from backscattering coefficient of microwave remotely sensed data using artificial neural network     

Walaiporn Phonphan  Nitin K. Tripathi  Taravudh Tipdecho  Apisit Eiumnoh 《国际地球制图》2013,28(8):842-859

Soil salinity is one of the main agricultural problems which expand to larger areas. Soil scientists categorize salinity level by electrical conductivity (EC) measurement. However, field measurements of EC require extensive time, cost and experiences. Remote sensing is one suitable option to investigate and collect spatial data in larger areas. Many researches estimated soil moisture through microwave, but there are fewer studies which mentioned about direct relationship between EC and backscattering coefficient (BC). Thus, this study aims to propose the estimation of EC directly from BC of microwave. The relationship between EC obtained from field survey and BC from microwave is non-linear, artificial neural network (ANN) is one technique proposed in this study to figure out EC and BC relationship. ANN uses multilayer of interconnected processing resulting in EC value with high accuracy which is acceptable. For this reason, ANN model can be successfully utilized as an effective tool for EC estimation from microwave.  相似文献   

An Information fusion approach for PALSAR data to retrieve soil moisture     

Ankita Jain 《国际地球制图》2017,32(9):1017-1033

Estimation of vegetation covered soil moisture with satellite images is still a challenging task. Several models are available for soil moisture retrieval in which water cloud model (WCM) is most common. But, it requires an estimation of accurate vegetation parameterization. Thus, there is a need to develop such an approach for soil moisture retrieval which minimize these limitations. Therefore, this paper deals with the soil moisture retrieval using fully polarimetric SAR data by fusing the information from different bands. Various polarimetric indices and observables were critically analysed, and found that the index; SPAN (total scattered power) gives better information of vegetation cover as compared to other indices/observables. Based on this, WCM model has been modified using SPAN as parameter and soil moisture content were retrieved.  相似文献   

Investigation of the lateral spread of erbium ions implanted in silicon crystal     

秦希峰  陈明  王雪林  梁毅  张少梅 《海洋学报(英文版)》2010,29(11)

The erbium ions at energy of 400 keV and dose of 5×10¹⁵ ions/cm² were implanted into silicon single crystals at room temperature at the angles of 0°, 45°and 60°. The lateral spread of 400 keV erbium ions implanted in silicon sample was measured by the Rutherford backscattering technique. The results show that the measured values were in good agreement with those obtained from the prediction of TRIM'98 (Transport of Ions in Matter) and SRIM2006 (Stopping and Range of Ions in Matter) codes.  相似文献   

多波段多极化合成孔径雷达的海洋学应用   总被引：3，自引：0，他引：3  

董庆  郭华东  王长林 《地球科学进展》2001,16(1):93-97

多波段、多极化合成孔径雷达是成像雷达的发展趋势。结合实际多波段多极化的SIR－C／X－SAR数据在海洋应用中的研究结果，指出面临多波段多极化雷达数据的发展趋势，在海洋应用领域应结合海洋环境要素加强海面雷达后向散射的全极化分析、建立全极化海面散射模型及极化不变量和最优极化等方向的研究。  相似文献   

Remote sensing of particle backscattering in Chesapeake Bay: A 6-year SeaWiFS retrospective view   总被引：1，自引：0，他引：1  

David G. Zawada  Chuanmin Hu  Tonya Clayton  Zhiqiang Chen  John C. Brock  Frank E. Muller-Karger 《Estuarine, Coastal and Shelf Science》2007,73(3-4):792-806

Traditional field techniques to monitor water quality in large estuaries, such as boat-based surveys and autonomous moored sensors, generally provide limited spatial coverage. Satellite imagery potentially can be used to address both of these limitations. Here, we show that satellite-based observations are useful for inferring total-suspended-solids (TSS) concentrations in estuarine areas. A spectra-matching optimization algorithm was used to estimate the particle backscattering coefficient at 400 nm, b_bp(400), in Chesapeake Bay from Sea-viewing Wide-Field-of-view Sensor (SeaWiFS) satellite imagery. These estimated values of b_bp(400) were compared to in situ measurements of TSS for the study period of September 1997–December 2003. Contemporaneous SeaWiFS b_bp(400) values and TSS concentrations were positively correlated (N = 340, r² = 0.4, P < 0.0005), and the satellite-derived b_bp(400) values served as a reasonable first-order approximation for synoptically mapping TSS. Overall, large-scale patterns of SeaWiFS b_bp(400) appeared to be consistent with expectations based on field observations and historical reports of TSS. Monthly averages indicated that SeaWiFS b_bp(400) was typically largest in winter (>0.049 m⁻¹, November–February) and smallest in summer (<0.031 m⁻¹, June–August), regardless of the amount of riverine discharge to the bay. The study period also included Hurricanes Floyd and Isabel, which caused large-scale turbidity events and changes in the water quality of the bay. These results demonstrate that this technique can provide frequent synoptic assessments of suspended solids concentrations in Chesapeake Bay and other coastal regions.  相似文献   

Vertical density distributions of fish: a balance between environmental and physiological limitation   总被引：1，自引：1，他引：1  

Stensholt  Boonchai K.; Aglen  Asgeir; Mehl  Sigbjorn; Stensholt  Eivind 《ICES Journal of Marine Science》2002,59(4):679-710

  相似文献   

Sea-surface acoustic backscattering measurement at 6–25 kHz in the Yellow Sea     

戚乐华  阚光明  刘保华  裴彦良  杨志国  于盛齐 《海洋学报(英文版)》2020,39(3):113-122

Sea-surface acoustic backscattering measurements at moderate to high frequencies were performed in the shallow water of the south Yellow Sea, using omnidirectional spherical sources and omnidirectional hydrophones. Sea-surface backscattering data for frequencies in the 6–25 k Hz range and wind speeds of(3.0±0.5)and(4.5±1.0) m/s were obtained from two adjacent experimental sites, respectively. Computation of sea-surface backscattering strength using bistatic transducer is described. Finally, we calculated sea-surface backscattering strengths at grazing angles in the range of 16°–85°. We find that the measured backscattering strengths agree reasonably well with those predicted by using second order small-roughness perturbation approximation method with "PM" roughness spectrum for all frequencies at grazing angles ranged from 40° to 80°. The backscattering strengths varied slightly at grazing angles of 16°–40°, and were much stronger than roughness scattering. It is speculated that scattering from bubbles dominates the backscattering strengths at high wind speeds and small grazing angles. At the same frequencies and moderate to high grazing angles, the results show that the backscattering strengths at a wind speed of(4.5±1.0) m/s were approximately 5 d B higher than those at a wind speed of(3.0±0.5) m/s. However, the discrepancies of backscattering strength at low grazing angles were more than 10 d B. Furthermore the backscattering strengths exhibited no significant frequency dependence at 3 m/s wind speed. At a wind speed of 4.5 m/s, the scattering strengths increased at low grazing angles but decreased at high grazing angles with increasing grazing angle.  相似文献   

SeaWinds散射计海面风场神经网络建模研究   总被引：2，自引：0，他引：2  

解学通  方裕  陈克海  黄舟  陈斌 《地理与地理信息科学》2007,23(2):12-17

根据Sea Winds散射计只有两个入射角和两种极化方式的特点,利用其L2A数据和F291海上浮标数据,针对传统建模方法的不足和限制,借助神经网络建立了一个两种极化方式下统一的神经网络地球物理模型函数。该模型的主要特点是建模风矢量全部取自海上浮标测量数据,因而所用风矢量更加客观准确。通过与Qscat-1模型的比较和L2B与浮标风速之间的偏差统计分析,证明了该神经网络模型的有效性,并发现Qscat-1模型存在一定的系统性偏差。  相似文献   

Monitoring of rice crop using ENVISAT ASAR data     

DONG Yanfang  SUN Guoqing  PANG Yong 《中国科学D辑(英文版)》2006,49(7):755-763

Rice is the most important food source for people and is cultivated in most countries, among which China is one of the most productive. Increase of the world population and demands for economic devel-opment lead to the need of an efficient monitoring system for rice cultivation and forecasting of rice yield. Conventional methods for rice monitoring are based on ground-collected statistics, which is time consum-ing, inaccurate and expensive. Since the 1980s, satel-lite remote sensing has been c…  相似文献