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Existing implementations of collaborative image interpretation have many limitations for very large satellite imageries, such as inefficient browsing, slow transmission, etc. This article presents a...
Massive spatial data requires considerable computing power for real-time processing. With the help of the development of multicore technology and computer component cost reduction in recent years, h...
Recently, visualization of urban scenes with various information attracts attention. For the transmission of urban scenes, virtual reality has been widely used. Since the virtual reality requires co...
The generation of orthophotos using digital aerial photography is performed for the maintenance of spatial information data for wide areas at the mid-scale.For orthophoto generation, a digital eleva...
Roads are significant objects of an infrastructure and the extraction of roads from aerial and satellite images are important for different applications such as automated map generation and change de...
High resolution satellite images are widely used to produce and update a digital map since they became widely available. It is well known that the accuracy of digital map produced from satellite ima...
Using high resolution image for making city map by digital rectification is simple.But five control points can correct image deformation precisely and reliable are not easy particular making 1:500...
VHRS STEREO IMAGES FOR 3D MODELLING OF BUILDINGS     Orientation  Extraction  Modelling  High Resolution  Ikonos       font style='font-size:12px;'> 2014/4/28
The paper presents the project which was carried out in the Photogrammetric Laboratory of Warsaw University of Technology. The experiment is concerned with the extraction of 3D vector data for build...
It is noticed a significant increase in the development of orbital and airborne sensors that enable the extraction of three-dimensional data. So, it’s important the increment of studies about the qu...
As a consequence of the wide-spread application of digital geo-data in geographic information systems (GIS), quality control has become increasingly important to enhance the usefulness of the data. ...
基于空间自相关BP神经网络的遥感影像亚像元定位     遥感影像  亚像元定位  自相关  BP  Moran’I        font style='font-size:12px;'> 2011/7/29
亚像元定位技术是一种获取地物在混合像元中分布信息的有效方法。本文提出了一种基于空间自相关函数的遥感影像BP神经网络亚像元定位方法,与传统的BP神经网路亚像元定位方法相比,该方法利用空间自相关函数Moran' I在亚像素级上对定位结果进行约束,其结果更符合空间相关性假设理论。实验结果表明,本文提出的方法优于传统BP神经网络亚像元定位方法,具有更高的定位精度。
高分辨率遥感影像中同谱异物,异物同谱现象对影像分类过程造成很大干扰,这与文本分析中同义词和多义词对文本语义理解的影响十分一致。针对这一问题,本文将文本分析中的概率潜在语义模型应用于高分辨率遥感影像分类,提出一种无监督的遥感影像分类新方法,分为三个阶段。
为了解决低空摄影测量、建筑摄影测量等领域中缺乏明显特征点给相对定向带来的难题,本文基于广义点摄影测量原理,提出利用多种同名影像特征进行相对定向的新方法。详细论述了基于同名直线和圆曲线进行独立法相对定向和连续法相对定向的数学模型。实际数据的试验结果表明,该方法切实可行,能够获得稳定的相对定向结果。
Digital Surface Models (DSMs) are representing the visible surface of the earth by the height corresponding to its X-, Y-location and height value Z. The quality of a DSM can be described by the acc...
In this work, we propose a state-of-the-art on statistical analysis of polarimetric synthetic aperture radar (SAR) data, through the modeling of several indices. We concentrate on eight ground class...

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