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Vegetation Fraction is a comprehensive quantitative index in forest management and vegetation community cover conditions, and it’s also an important parameter in many remote sensing ecological models,...
The  latest  very  high  resolution  satellites  have  an  important  impact  in  geoinformatic  industry.  As  an  alternati...
Monitoring of ice velocity field is one of the key issues to glacier dynamics understanding. Surface velocity fields can provide useful information on phenomena such as glacier surges or ice fall. T...
Two visibility tests have been made on a fusion of panchromatic and multi-spectral SPOT5 images. The tests differ in the type of regions (sub-urban versus rural) and in the panchromatic image resolut...
Launched on May 2002 the 3rd, SPOT5 is the latest of the SPOT series of satellites continuing and complementing the mission assigned to its predecessors in the field of Earth Observation and Mapping. ...
The purpose of this project is to test High Resolution Stereoscopic (HRS) data of SPOT5. This project is done in the framework of the “HRS study Team” international test, supported by ISPRS-CNES. The ...
The present paper deals with the accuracy potential of SPOT-5 HRS satellite imageries for DEM generation. The goal is to derive a DEM from the along-track stereo data of the SPOT HRS sensor and to ass...
This paper describes a new model developed at UCL for along track stereo sensors. The model is tested on SPOT HRS data provided under the SPOT Assessment Project (SAP) set up by CNES and ISPRS. The SP...
SPOT 5, the latest in the series of French optical remote sensing satellite, was launched on May 4, 2002 by an Ariane 4 rocket. Its characteristics, in terms of image resolution and swath, and the pre...
SPOT5 Location model calibration addresses five main issues. The first issue is to get best relative and absolute location performances. It consists of relative orientation calibration for HRG, HRS ...
以南京市部分主城区为研究对象,首先利用基于多尺度图像分割方法对图像进行分割; 然后利用对象所包含的光谱、形状及纹理等特征确定地物识别中所需的各种特征参数; 最后,通过规则的建立,实现研究区地物的逐级分层分类。研究结果表明,该方法不仅使分类结果具有丰富的语义规则信息,而且还有效减少了“分类椒盐现象”的产生,分类精度显著提高。
基于COM/AutoCAD的SPOT5 卫星影像地物半自动成图方法。

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