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Three methods of fusing information from maximum liklihood and neural network methods for multispectral data classification are discussed in this paper. The purpose of the fusion is to ...
The focus of this paper is on the segmentation algorithm for the high resolution multispectral imagery to get regions which are roughly corresponding to land cover types. We propose the combination of...
Vegetation, as the comprehensive reflection of climate and other environmental elements, is closely related with climate changes.The article, on the basis of Holdridge life zone index method and the u...
With the advent of digital sensor, the requirement for new Photogrammetric software is urgent to quick object information extraction from high-resolution stereo pairs. This paper describes an effectiv...
India accounts for the world’s greatest concentration of coal fires which cause several devastating environmental effects. Only Jharia Coal Field (JCF) in Jharkhand (India) contains nearly half of su...
This study investigates the options of information mining to enhance interpretation of PS-InSAR results of land subsidence analysis. Persistent Scatterer (PS) Interferometric Synthetic Aperture Radar...
The introduction of laser-based photogrammetry in the surveying of Cultural Heritage provides an increasing volume of data, which requires multi-resolution approaches for analyzing and displaying th...
In this paper we show the pre-processing and potential for environmental applications of very high resolution (VHR) satellite stereo imagery like these from WorldView-2 or Pleiades with ground sampli...
Classification of remote sensing imagery provides an inexpensive yet efficient approach to land cover mapping. In supervised image classification, training samples are collected through certain sampli...

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