Results 11 to 20 of about 835 (219)
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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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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Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images [PDF]
Sensors, 2019 Spectral unmixing is a vital procedure in hyperspectral remote sensing image exploitation. The linear mixture model has been widely utilized to unmix hyperspectral images by extracting a set of pure spectral signatures, called endmembers in hyperspectral
Jianwei Gao +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Endmember extraction algorithms (EEAs) are among the most commonly discussed types of hyperspectral image processing in the past three decades. This article proposes a spatial energy prior constrained maximum simplex volume (SENMAV) approach for spatial ...
Xiangfei Shen, Wenxing Bao, Kewen Qu
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Remote Sensing, 2022 As the foremost step of spectral unmixing, endmember extraction has been one of the most challenging techniques in the spectral unmixing processing due to the mixing of pixels and the complexity of hyperspectral remote sensing images.
Zhao Wang +4 more
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Endmember extraction and abundance estimation algorithm based on double-compressed sampling [PDF]
Scientific ReportsBased on double-compressed sampling, a hyperspectral spectral unmixing algorithm (SU_DCS) is proposed, which could directly complete the endmember extraction and abundance estimation.
Li Wang, Yang Bi, Wei Wang, Junfang Li
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The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images [PDF]
SensorsMixed pixels remain a central obstacle to reliable endmember extraction from hyperspectral imagery. We present AMEE–PPI, a hybrid method that embeds the Pure Pixel Index (PPI) within morphological structuring elements and propagates spectral purity via ...
Lin Hu +6 more
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A New Sequential Algorithm for Hyperspectral Endmember Extraction [PDF]
IEEE Geoscience and Remote Sensing Letters, 2012 Endmember extraction is an important step in spectral mixture analysis when endmembers are unknown. Endmembers are usually assumed to be pure pixels present in an image scene. Under this circumstance, endmember extraction is to find the most distinctive pixels.
Qian Du
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Remote Sensing, 2017 The endmember extraction algorithm, which selects a collection of pure signature spectra for different materials, plays an important role in hyperspectral unmixing.
Mingming Xu +5 more
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Multiobjective Optimized Endmember Extraction for Hyperspectral Image
Remote Sensing, 2017 Endmember extraction (EE) is one of the most important issues in hyperspectral mixture analysis. It is also a challenging task due to the intrinsic complexity of remote sensing images and the lack of priori knowledge.
Rong Liu, Bo Du, Liangpei Zhang
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