共查询到20条相似文献，搜索用时 15 毫秒
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Ali Ozgun Ok Asli Ozdarici-Ok Emre Baseski 《Journal of the Indian Society of Remote Sensing》2018,46(8):1203-1212
In this study, we assess the quality of the digital surface model (DSM) generated from Pleiades-1 tri-stereo images which can potentially contribute to the detection of citrus trees in terms of height information. The methods tested on stereo/tri-stereo images are; (a) local methods (correlation-based and least squares method), (b) semi-global method (semi-global matching (SGM)), and (c) global method (SIFT-flow). DSMs of three sub-regions of Mersin area have been presented for each stereo/tri-stereo matching method; whereas for the SIFT-flow method, we have only depicted the parallax results. Numerical results reveal that the SGM forward-backward stereo combination which has the largest intersection angle provided the best results in 2 out of 3 test areas. However, the results confirm that none of the methods could reach the desired level of performance for the height estimation of citrus trees that can potentially guide the detection step. 相似文献
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Land cover classification and economic assessment of citrus groves using remote sensing 总被引：1，自引：0，他引：1
《ISPRS Journal of Photogrammetry and Remote Sensing》2007,61(5):341-353
The citrus industry has the second largest impact on Florida's economy, following tourism. Estimation of citrus area coverage and annual forecasts of Florida's citrus production are currently dependent on labor-intensive interpretation of aerial photographs. Remotely sensed data from satellites has been widely applied in agricultural yield estimation and cropland management. Satellite data can potentially be obtained throughout the year, making it especially suitable for the detection of land cover change in agriculture and horticulture, plant health status, soil and moisture conditions, and effects of crop management practices. In this study, we analyzed land cover of citrus crops in Florida using Landsat Enhanced Thematic Mapper Plus (ETM+) imagery from the University of Maryland Global Land Cover Facility (GLCF). We hypothesized that an interdisciplinary approach combining citrus production (economic) data with citrus land cover area per county would yield a correlation between observable spectral reflectance throughout the year, and the fiscal impact of citrus on local economies. While the data from official sources based on aerial photography were positively correlated, there were serious discrepancies between agriculture census data and satellite-derived cropland area using medium-resolution satellite imagery. If these discrepancies can be resolved by using imagery of higher spatial resolution, a stronger correlation would be observed for citrus production based on satellite data. This would allow us to predict the economic impact of citrus from satellite-derived spectral data analysis to determine final crop harvests. 相似文献
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2-D delineation of individual citrus trees from UAV-based dense photogrammetric surface models 总被引：1，自引：0，他引：1
One of the challenges of remote sensing and computer vision lies in the three-dimensional (3-D) reconstruction of individual trees by using automated methods through very high-resolution (VHR) data sets. However, a successful and complete 3-D reconstruction relies on precise delineation of the trees in two dimensions. In this paper, we present an original approach to detect and delineate citrus trees using unmanned aerial vehicles based on photogrammetric digital surface models (DSMs). The symmetry of the citrus trees in a DSM is handled by an orientation-based radial symmetry transform which is computed in a unique way. Next, we propose an efficient strategy to accurately build influence regions of each tree, and then we delineate individual citrus trees through active contours by taking into account the influence region of each canopy. We also present two efficient strategies to filter out erroneously detected canopy regions without having any height thresholds. Experiments are carried out on eight test DSMs composed of different types of citrus orchards with varying densities and canopy sizes. Extensive comparisons to the state-of-the-art approaches reveal that our proposed approach provides superior detection and delineation performances through supporting a nice balance between precision and recall measures. 相似文献
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Pratibha Thakuria Das Liagi Tajo Jonali Goswami 《Journal of the Indian Society of Remote Sensing》2009,37(2):317-324
Orange orchards of Meghalaya are small in size and are found together with other plants on the slopes of hills. It is also
reported that the productivity of orchards is declining in some parts of the state. Therefore in this study, we have attempted
to map areas prone to citrus productivity decline based on the integrated effect of soil erosion, vegetation condition and
moisture stress. It is difficult to identify orchards on hilly terrain using standard FCC of IRS-P6 LISS III data. Hence,
an enhanced color composite image was prepared from three images generated from indices namely SBI, NDWI and NDVI. This enhanced
color image was classified using the maximum likelihood classification method and enabled identifying villages prone to citrus
decline. The study shows that orchards of 29 villages which are suffering from moisture stress and mostly located on steep
slopes that cause heavy soil loss leading to nutrient imbalances are prone to citrus decline. These data will be useful in
mapping potential citrus decline areas over zones having similar climatic conditions so that the concerned state horticulture/agriculture
departments and citrus growers can take necessary remedial actions. 相似文献
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J. Amorós López E. Izquierdo VerdiguierL. Gómez Chova J. Muñoz MaríJ.Z. Rodríguez Barreiro G. Camps VallsJ. Calpe Maravilla 《ISPRS Journal of Photogrammetry and Remote Sensing》2011,66(1):115-123
Managing land resources using remote sensing techniques is becoming a common practice. However, data analysis procedures should satisfy the high accuracy levels demanded by users (public or private companies and governments) in order to be extensively used. This paper presents a multi-stage classification scheme to update the citrus Geographical Information System (GIS) of the Comunidad Valenciana region (Spain). Spain is the first citrus fruit producer in Europe and the fourth in the world. In particular, citrus fruits represent 67% of the agricultural production in this region, with a total production of 4.24 million tons (campaign 2006-2007). The citrus GIS inventory, created in 2001, needs to be regularly updated in order to monitor changes quickly enough, and allow appropriate policy making and citrus production forecasting. Automatic methods are proposed in this work to facilitate this update, whose processing scheme is summarized as follows. First, an object-oriented feature extraction process is carried out for each cadastral parcel from very high spatial resolution aerial images (0.5 m). Next, several automatic classifiers (decision trees, artificial neural networks, and support vector machines) are trained and combined to improve the final classification accuracy. Finally, the citrus GIS is automatically updated if a high enough level of confidence, based on the agreement between classifiers, is achieved. This is the case for 85% of the parcels and accuracy results exceed 94%. The remaining parcels are classified by expert photo-interpreters in order to guarantee the high accuracy demanded by policy makers. 相似文献
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通过分析三维场景实时渲染中视点无关与视点相关地形生成算法的性能,提出了优化的视点相关地形生成算法。此算法主要针对地形拆分、可视精度计算、观察视点距离计算、以及地形可见性裁剪这4个方面的策略做出了详细的阐述。并以渲染精度为衡量标准,通过实验对比分析了优化后的视点相关地形生成算法与视点无关地形生成算法的性能。除此之外,以渲染效率为标准,通过实验分析对比了优化后的视点相关地形生成算法与原视点相关地形生成算法的性能,并给出了一个运用此优化算法构建的三维地形模型。 相似文献
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针对常用的几种钟差预报模型进行了研究,对其计算模型进行了详细的推导,并给出了模型参数的计算过程,以BLOCK IIR M卫星钟为例对几种钟差预报模型进行了比较分析,结果显示利用多项式模型、切比雪夫多项式模型进行预报时,随着采用的观测数据量的增大,无论短周期还是中、长周期预报,预报效果不一定会好,灰色系统模型只需要采用少量的观测数据来建模,减少了数据量,提高了建模速度,而且预报卫星钟差时精度有显著的提高,对于观测数据少,预报周期长的卫星具有明显优势。 相似文献
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21世纪以来,高分辨率对地观测卫星快速发展,对地观测系统由最初的单星模式发展为现在的轻小型卫星组建星座,实现了全天时、全天候、全方位的对地精细化观测。未来将对地观测卫星星座与通信卫星、导航卫星和飞机等空间节点通过动态组网,建立天基空间信息网络,以实现智能化空天信息的实时服务。为了进一步增强系统的智能化水平,提高系统感知、认知能力和应急响应能力,本文提出未来空间信息网络环境下对地观测脑（earth observation brain,EOB）的概念,对地观测脑是基于事件感知的智能化对地观测系统。详细介绍了对地观测脑的概念模型及需要解决的关键技术,举例说明了对地观测脑初级阶段的感知、认知过程。将来对地观测脑可以回答何时（when）、何地（where）、何目标（what object）发生了何种变化（what change）,并在规定的时间（right time）和地点（right place）把这些正确的信息（right information）推送给需要的人（right people）的手机或其他智能终端,全球用户可实时获得所需的任何数据、信息和知识。 相似文献
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在变形监测过程中,获取监测资料以后,通过对高层建筑物观测资料进行研究分析,可以掌握地基随时间的沉降规律,预测其下一步的变形趋势,并为可能发生的变形做好必要的准备,减少因非预计沉降带来的损失。灰色模型分析法是一种常用的数据处理及预测分析方法,本文在简单介绍了灰色模型分析法的基础上,利用灰色模型分析法预测了变形监测数据,并得出了有益结论。 相似文献
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分析了现有的开采沉陷预计的剖面函数模型如负指数函数、双曲正切函数等模型具有表达式过于复杂,坐标原点、参数在实际使用时较难确定等缺点,研究了矩形采空区上方地表沉陷观测数据的特征,提出了一种新的开采沉陷预计的主断面拟合函数。这种新的拟合函数表达式简单,在实际工作中容易确定相关参数。某矿山的实测资料验证说明,提出的该拟合函数与实测资料吻合程度较高。 相似文献
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在自回归模型求解中,设计矩阵和观测值均存在误差,传统的最小二乘法不能很好地解决这一问题。本文提出了一种顾及设计矩阵误差的AR模型新解法,通过引入虚拟观测值,使观测向量与设计矩阵不仅同源而且带误差的元素个数相同,然后通过对观测方程进行等价变换巧妙实现了在最小二乘框架下求解自回归问题。利用模拟数据及实测数据分别对新算法进行了内符合精度检验,并利用实测数据对新算法进行外符合精度检验,结果表明新算法得到的结果显著优于奇异值分解(singular value decomposition,SVD)解法及传统最小二乘解法,验证了算法的精度和有效性。 相似文献
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星载重轨干涉SAR卫星在高程测绘和形变测量中有着全天时全天候和大范围的优势,其中干涉基线是决定干涉性能的重要指标,而卫星重访轨道对干涉基线起着决定性的作用。通过对现有高分三号干涉数据轨道参数的分析,发现干涉基线相比国外先进卫星过长且稳定性有待提高。本文通过对相对轨道根数和机动控制的分析,得到满足重轨干涉SAR系统要求的稳定基线。以第一次观测的轨道为参考轨道,基于在摄动情况下重复观测轨道与参考轨道的相对轨道根数,计算得到重轨干涉基线的变化规律,并对不同纬度的观测目标进行了样例分析。在基线变化规律的基础上,利用机动速度和相对轨道根数的关系,进一步计算得到满足基线状态需求的机动控制方法。通过实际数据分析,给出了相对轨道根数变化对初始理想构型的影响,验证了重轨干涉基线变化规律符合本文的分析,并利用仿真样例给出了使得重轨干涉基线达到预期要求的机动控制方案。实际数据和仿真实验表明该模型能够通过可长时间观测并准确获得的轨道根数直接计算基线状态,并能从干涉基线需求出发,快速准确的得出对卫星的控制策略。 相似文献
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GPS网平差的多元响应-非线性最小二乘模型及其解的最优化混合算法 总被引：1，自引：1，他引：0
在控制网中,用GPS测量,可以同时测得一个点的基线向量,在具有起算数据时可获得观测点的三维坐标等多个响应变量值,将这些响应变量包含的信息综合起来,可以得到参数的更精确的估计。本文针对GPS测量数据为多元响应数据的特点,建立了一个GPS网平差的多元响应-非线性最小二乘模型,针对该模型,结合拟牛顿法和信赖域算法建立了一个新非线性优化的混合算法,该算法具有全局收敛性和超线性收敛性。 相似文献
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利用地球重力场模型计算CHAMP卫星参考轨道 总被引：3，自引：1，他引：3
结合CHAMP卫星观测数据的动力法反演，研究了CHAMP卫星参考轨道的数值方法。分别通过利用40～50阶重力位系数模型计算轨道，并与业已公布的卫星轨道数据进行比较，结果表明，CHAMP(低轨)卫星轨道对重力场低频部分的敏感度较大，考虑低阶(40阶左右)重力场模型计算的卫星参考轨道精度较高。 相似文献