Results 1 to 10 of about 3,639,317 (240)
EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection
Remote Sensing, 2021 Hyperspectral band selection (BS) is an effective means to avoid the Hughes phenomenon and heavy computational burden in hyperspectral image processing.
Yufei Liu +3 more
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Remote Sensing, 2022 Band subset selection (BSS) is one of the ways to implement band selection (BS) for a hyperspectral image (HSI). Different from conventional BS methods, which select bands one by one, BSS selects a band subset each time and preserves the best one from ...
Keng-Hao Liu +2 more
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Open Geosciences, 2020 Swarm intelligence algorithms have been widely used in the dimensional reduction of hyperspectral remote sensing imagery. The ant colony algorithm (ACA), the clone selection algorithm (CSA), particle swarm optimization (PSO), and the genetic algorithm ...
Xiaohui Ding +4 more
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Fusion of Various Band Selection Methods for Hyperspectral Imagery
Remote Sensing, 2019 This paper presents an approach to band selection fusion (BSF) which fuses bands produced by a set of different band selection (BS) methods for a given number of bands to be selected, nBS.
Yulei Wang +3 more
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Underwater Hyperspectral Target Detection with Band Selection
Remote Sensing, 2020 Compared to multi-spectral imagery, hyperspectral imagery has very high spectral resolution with abundant spectral information. In underwater target detection, hyperspectral technology can be advantageous in the sense of a poor underwater imaging ...
Xianping Fu +5 more
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Unsupervised Hyperspectral Band Selection Using Spectral–Spatial Iterative Greedy Algorithm [PDF]
SensorsHyperspectral band selection (BS) is an important technique to reduce data dimensionality for the classification applications of hyperspectral remote sensing images (HSIs). Recently, searching-based BS methods have received increasing attention for their
Xin Yang, Wenhong Wang
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BAND SELECTION OF HYPERSPECTRAL IMAGES BASED ON MARKOV CLUSTERING AND SPECTRAL DIFFERENCE MEASUREMENT FOR OBJECT EXTRACTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 For the existing hyperspectral image (HSI) band selection (BS) algorithm does not consider the strong correlation between adjacent bands and does not meet the high-precision extraction of single target, a HSI BS algorithm based on Markov clustering and ...
T. Zhang +14 more
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Nonlocal Band Attention Network for Hyperspectral Image Band Selection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Band selection (BS) is a foundational problem for the analysis of high-dimensional hyperspectral image (HSI) cubes. Recent developments in the visual attention mechanism allow for specifically modeling the complex relationship among different components.
Tiancong Li +4 more
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Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral images provide rich spectral information corresponding to visible and near-infrared imaging regions, facilitating accurate classification, object identification, and target detection. However, the high volume of data creates a computational
Samiran Das +3 more
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Constrained-Target Band Selection With Subspace Partition for Hyperspectral Target Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Hyperspectral target detection is widely used in both military and civilian fields. In practical applications, how to select a low-correlation and representative band subset to reduce redundancy is worth discussing.
Xudong Sun +4 more
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