Results 11 to 20 of about 1,111,541 (211)
Hyperspectral Endmember Extraction Using Spatially Weighted Simplex Strategy
Remote Sensing, 2019 Spatial information is increasingly becoming a vital factor in the field of hyperspectral endmember extraction, since it takes into consideration the spatial correlation of pixels, which generally involves jointing spectral information for preprocessing ...
Xiangfei Shen, Wenxing Bao
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ENDMEMBER EXTRACTION FOR HYPERSPECTRAL IMAGES USING WATERSHED AND NORMALIZED CUTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Endmember extraction integrated with spatial information has been concerned on some research recently. In this paper we studies an improved endmember extraction method with spatial preprocessing module which use watershed with normalized cuts to avoid ...
H. Xu, B. Tian, F. Liu
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An Experimental Study on the Effects of Noise on Endmember Extraction Methods
Canadian Journal of Remote Sensing, 2022 Endmember extraction is frequently adopted to detect spectrally unique signatures of pure materials in the scene of hyperspectral imagery (HSI). In this paper, we investigate the effects of noise on seven widely used endmember extraction methods.
Guangyi Chen, Adam Krzyzak, Shen-En Qian
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Remote Sensing, 2021 With the improvement of spatial resolution of hyperspectral remote sensing images, the influence of spectral variability is gradually appearing in hyperspectral unmixing.
Chuanlong Ye +5 more
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Spatial Potential Energy Weighted Maximum Simplex Algorithm for Hyperspectral Endmember Extraction
Remote Sensing, 2022 Most traditional endmember extraction algorithms focus on spectral information, which limits the effectiveness of endmembers. This paper develops a spatial potential energy weighted maximum simplex algorithm (SPEW) for hyperspectral endmember extraction,
Meiping Song +3 more
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A New Endmember Extraction Method Based on Least Squares
Canadian Journal of Remote Sensing, 2022 Endmember extraction is frequently adopted to detect spectrally unique signatures of pure ground materials in hyperspectral imagery. These endmembers are the purest pixels in the HSI data cubes. Every pixel in a HSI data cube can be expressed as a linear
Guangyi Chen, Adam Krzyzak, Shen-En Qian
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Spectral unmixing is an important problem for remotely sensed hyperspectral data exploitation. Automatic spectral unmixing can be viewed as a three-stage problem, where the first stage is subspace identification, the next one is endmember extraction, and
Dharambhai Shah +3 more
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Endmember Estimation with Maximum Distance Analysis
Remote Sensing, 2021 Endmember estimation plays a key role in hyperspectral image unmixing, often requiring an estimation of the number of endmembers and extracting endmembers.
Xuanwen Tao +5 more
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Sparse endmember extraction and demixing.
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012 A novel algorithm for endmember extraction is presented. The approach follows the linear mixture model for hyperspectral data. Endmembers are identified based on sparsity consideration.
M. Ehler, M. Hirn, Ehler, M., Hirn, M.
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Remote Sensing, 2020 Endmember extraction is a primary and indispensable component of the spectral mixing analysis model applicated to quantitatively retrieve fractional snow cover (FSC) from satellite observation.
Hongyu Zhao +8 more
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