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—Recently, representation-based classifiers have gained increasing interest in hyperspectral image (HSI) classification. In this letter, based on our previously developed joint collaborative representation (JCR) classifier, an improved version, which is called weighted JCR (WJCR) classifier, is proposed. JCR adopts the same weights when extracting spatial(More)
—A new hyperspectral unmixing algorithm is proposed based on the normal compositional model (NCM) to estimate the endmembers and abundance parameters jointly in this paper. The NCM considers the hyperspectral imaging as a stochastic process and interprets each pixel value as a random vector, which is linearly mixed by the endmembers. More precisely, these(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a r t i c l e i n f o a b s t r a c t Silicene-like (4, 0) zigzag metal-doped M n Si(More)
Two improved local-region filters, adaptive weighted filter (AWF) and collaborative representation filter (CoRF), are proposed for feature extraction and classification in hyperspec-tral imagery. The local-region filters generate spatial-spectral features of a hyperspectral pixel by incorporating its surrounding pixels. The work of this paper is an(More)
Attitude of the Small satellite is prone to be affected by external disturbing factors due to its small inertia. As for Beijing-1 small satellite, jitter is induced and exhibited in the images taken while the outside disturbance is intense. The jitter is manifested as jagged lines and edges in the images, leading to distortion of geometric property of the(More)
An efficient classification framework for mapping agricultural tillage practice using hyperspectral remote sensing imagery is proposed, which has the potential to be implemented practically to provide rapid, accurate, and objective surveying data for precision agricultural management and appraisal from large-scale remote sensing images. It includes a local(More)
Due to the conflict between increasing amount of data and restricted downlink transfer rate, onboard compression of satellite images before downloading has become an inevitable procedure. Striping noise is an inherent factor that exists in the acquired satellite images [1] , thus, for the onboard image compression, the impact of striping noise has to be(More)
Based on the graph-embedding framework, sparse graph-based discriminant analysis (SGDA), collaborative graph-based discriminant analysis (CGDA) and low rankness graph based discriminant analysis (LGDA) have been proposed with different graph construction. However, due to the inherent characteristics of ℓ 1-norm, ℓ 2-norm and nuclear-norm, single graph may(More)