Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3175257
Abstract: Hyperspectral unmixing has been an important technique that estimates a set of endmembers and their corresponding abundances from a hyperspectral image (HSI). Nonnegative matrix factorization (NMF) plays an increasingly significant role in solving this problem.… read more here.
Keywords: matrix factorization; hyperspectral unmixing; nonnegative matrix; unmixing based ... See more keywords
Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery
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DOI: 10.1109/tgrs.2018.2815044
Abstract: Unmixing is an important issue of hyperspectral images. Most unmixing methods adopt linear mixing models for simplicity. However, multiple scattering usually occurs between vegetation and soil in a bilinear scene. Thus, nonlinear mixing problems which… read more here.
Keywords: segmentation; detailed regions; method; unmixing based ... See more keywords
Unmixing-Based PAN-Guided Fusion Network for Hyperspectral Imagery
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DOI: 10.1109/tgrs.2022.3141765
Abstract: The hyperspectral image (HSI) has been widely used in many applications due to its fruitful spectral information. However, the limitation of imaging sensors has reduced its spatial resolution that causes detail loss. One solution is… read more here.
Keywords: network; fusion; pan; unmixing based ... See more keywords
Unmixing-Based Soft Color Segmentation for Image Manipulation
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DOI: 10.1145/3072959.3002176
Abstract: We present a new method for decomposing an image into a set of soft color segments that are analogous to color layers with alpha channels that have been commonly utilized in modern image manipulati... read more here.
Keywords: color; image; color segmentation; soft color ... See more keywords