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A review of unsupervised band selection techniques: Land cover classification for hyperspectral earth observation data
A hyperspectral image (HSI) is a collection of several narrow-band images that span a wide
spectral range. Each band reflects the same scene, composed of various objects imaged at …
spectral range. Each band reflects the same scene, composed of various objects imaged at …
Hyperspectral band selection by multitask sparsity pursuit
Y Yuan, G Zhu, Q Wang - IEEE Transactions on Geoscience …, 2014 - ieeexplore.ieee.org
Hyperspectral images have been proved to be effective for a wide range of applications;
however, the large volume and redundant information also bring a lot of inconvenience at …
however, the large volume and redundant information also bring a lot of inconvenience at …
Unsupervised hyperspectral band selection by dominant set extraction
G Zhu, Y Huang, J Lei, Z Bi, F Xu - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Unsupervised hyperspectral band selection has been an important topic in hyperspectral
imagery. This technique aims at selecting some critical and decisive spectral bands from an …
imagery. This technique aims at selecting some critical and decisive spectral bands from an …
Hyperspectral image visualization with edge-preserving filtering and principal component analysis
In this paper, an edge-preserving filtering and principal component analysis (PCA)-based
visualization method is proposed for hyperspectral images, in which both global and local …
visualization method is proposed for hyperspectral images, in which both global and local …
Visualization of hyperspectral images using bilateral filtering
This paper presents a new approach for hyperspectral image visualization. A bilateral
filtering-based approach is presented for hyperspectral image fusion to generate an …
filtering-based approach is presented for hyperspectral image fusion to generate an …
Fast hyperspectral anomaly detection via high-order 2-D crossing filter
Y Yuan, Q Wang, G Zhu - IEEE Transactions on Geoscience …, 2014 - ieeexplore.ieee.org
Anomaly detection has been an important topic in hyperspectral image analysis. This
technique is sometimes more preferable than the supervised target detection because it …
technique is sometimes more preferable than the supervised target detection because it …
Multichannel pulse-coupled neural network-based hyperspectral image visualization
Hyperspectral Image (HSI) visualization, which aims at displaying as much material
information of original images as possible on a trichromatic monitor with natural color, plays …
information of original images as possible on a trichromatic monitor with natural color, plays …
Decolorization-based hyperspectral image visualization
Image decolorization is known to be an effective way in transferring a color image into a gray
one while well preserving the major information of all three bands. In this paper, a simple yet …
one while well preserving the major information of all three bands. In this paper, a simple yet …
Hyperspectral image visualization using band selection
Several simple but efficient hyperspectral image display approaches are proposed to use
selected bands for Red-Green-Blue (RGB) color composite construction, where visualization …
selected bands for Red-Green-Blue (RGB) color composite construction, where visualization …
[HTML][HTML] An Efficient Hyperspectral Image Retrieval Method: Deep Spectral-Spatial Feature Extraction with DCGAN and Dimensionality Reduction Using t-SNE-Based …
J Zhang, L Chen, L Zhuo, X Liang, J Li - Remote Sensing, 2018 - mdpi.com
Hyperspectral images are one of the most important fundamental and strategic information
resources, imaging the same ground object with hundreds of spectral bands varying from …
resources, imaging the same ground object with hundreds of spectral bands varying from …