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Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
We introduce a prototypical methodological framework for a place-based GIS-RS system for the spatial delineation of place while incorporating spatial analysis and mapping techniques using methods from...
High mortality rates and lack of recruitment in the acacia populations throughout the Negev Desert and the Arava rift valley of Israel have been reported in previous studies. However, it is difficult ...
Hyperspectral spectrometers can record electromagnetic energy with hundreds or thousands of spectral channels. With such high spectral resolution, the spectral information has better capability for ma...
The aim of this research is to investigate possibility for interactive semi-automatic interpretation of digital images in humanitarian demining for the purpose of detection and extraction of (strong) ...
The low frequency error is a key factor which has affected uncontrolled geometry processing accuracy of the high-resolution optical image. To guarantee the geometric quality of imagery, this paper pre...
In this paper, taking Jinan City as a case study, 2000 / 2005 ETM+ and Spot4 Pan images were interpreted artificially, and the spatial information of the two period land-use types wasextracted. Based ...
Skeleton is an important 1-D descriptor of polygon and a useful tool for advanced geometric algorithms. However the skeleton that most existing algorithms investigated is the longest one, which is not...
Analyzing the law of economic development and estimating the regional economy development’s level to discover the relation between the economy development and area diversity, which can providethe refe...
The goal of this research was to investigate the potential of hyperspectral Hyperion (EO-1) data to derive fractional cover of rangeland components using constrained linear spectral mixture analysis. ...
The hyperspectral image enriches spectrum information, so compared with panchromatic image and multispectral image; it can classify the ground target better. The feature extraction of hyperspectral im...
Timely and accurate identification of tree species by spectral methods is crucial for forest and urban ecological management. It has been proved that traditional methods and data cannot meet such requ...
Atmospheric pollution was previously considered as a 'Brown Cloud’ phenomenon restricted to industrialized urban regions. Studies in field stations and satellite observations made since the last decad...
Nowadays, Open Skies uses mainly whiskbroom type thermal scanners, which provide images in the 3-5μm and 8-12μm ranges.This way of acquiring images introduces commonly known geometrical errors. They r...
Recently, it is required to investigate the spatial distribution of vegetation in urban areas on a regional scale for not only the improvement of urban environment but also the conservation of ecosyst...

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