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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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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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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 Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary Learning
Remote Sensing, 2019 Due to the sparsity of hyperspectral images, the dictionary learning framework has been applied in hyperspectral endmember extraction. However, current endmember extraction methods based on dictionary learning are not robust enough in noisy environments.
Xiaorui Song, Lingda Wu
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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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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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