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A Micro-satellite Constellation for Environment and Disaster Monitoring was successfully launched in China on September 6th, 2008, which includes two small satellites as Satellite-A (HJ-1A) and Satellite-B (HJ-1B). It is the first time for China to launch such kind of remote sensing satellites especially for the earth environment and disaster monitoring.(More)
—An adaptive Markov random field (MRF) approach is proposed for classification of hyperspectral imagery in this letter. The main feature of the proposed method is the introduction of a relative homogeneity index for each pixel and the use of this index to determine an appropriate weighting coefficient for the spatial contribution in the MRF classification.(More)
Hyperspectral remote sensing is a new and fast growing remote sensing technology that is currently being investigated by researchers and scientists. A great challenge in hyperspectral image analysis is decomposing a mixed pixel into a collection of endmembers and their corresponding abundance fractions, namely spectral unmixing. This paper introduces null(More)
—Hyperspectral image classification has been a very active area of research in recent years. It faces challenges related with the high dimensionality of the data and the limited availability of training samples. In order to address these issues, subspace-based approaches have been developed to reduce the di-mensionality of the input space in order to better(More)
A novel algorithm that combines sparse and collaborative representation is proposed for target detection in hyperspectral imagery. Target detection is achieved by the representation of a testing pixel using a target library and a background library. Due to the fact that sparse representation encourages competition among atoms while collaborative(More)