Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks
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DOI: 10.1109/access.2020.2977454
Abstract: Hyperspectral imaging has become a mature technology which brings exciting possibilities in various domains, including satellite image analysis. However, the high dimensionality and volume of such imagery is a serious problem which needs to be… read more here.
Keywords: band selection; hyperspectral band; attention; attention based ... See more keywords
Spectral-Spatial Hypergraph-Regularized Self-Representation for Hyperspectral Band Selection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3276055
Abstract: Due to the redundancy and sparsity of hyperspectral data, sparse representation (SR) has proven to be well-suited for hyperspectral band selection (BS). Moreover, graph regularizers can effectively incorporate local structural information of the data to… read more here.
Keywords: hyperspectral band; band selection; regularized self; hypergraph regularized ... See more keywords
Hyperspectral Band Selection From Statistical Wavelet Models
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2016.2636850
Abstract: High spectral resolution brings hyperspectral images with large amounts of information, which makes these images more useful in many applications than images obtained from traditional multispectral scanners with low spectral resolution. However, the high data… read more here.
Keywords: selection statistical; hyperspectral band; band; band selection ... See more keywords
Hyperspectral Band Selection via Difference Between Intergroups
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3242239
Abstract: Various methods are proposed to reduce the dimensions of hyperspectral image (HSI) by band selection in recent years. Most methods select one band from each group to construct a band subset. However, the redundancy in… read more here.
Keywords: band; hyperspectral band; via difference; difference intergroups ... See more keywords
Block Diagonal Representation Learning for Hyperspectral Band Selection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3266811
Abstract: Hyperspectral band selection is viewed as an effective dimension reduction method. Recently, researchers present graph-based clustering for hyperspectral image (HSI) processing. However, most of them conduct clustering on a fixed data matrix so that it… read more here.
Keywords: band; representation learning; hyperspectral band; band selection ... See more keywords
Hyperspectral Band Selection With Iterative Graph Autoencoder
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3273776
Abstract: Hyperspectral band selection (BS) is an important task for hyperspectral image (HSI) processing, which aims to select a discriminative and low-redundant band subset. As a significant cue for BS, structure information describes the cross-band correlation,… read more here.
Keywords: band; information; hyperspectral band; iterative graph ... See more keywords
Hyperspectral band selection based on triangular factorization
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.11.025007
Abstract: Abstract. We proposed an efficient unsupervised band selection method, maximum ellipsoid volume triangular factorization (MEV–TF), which is based on MEV and TF. MEV band selection regards the bands with the maximum determinant of the covariance… read more here.
Keywords: band; hyperspectral band; band selection; triangular factorization ... See more keywords