Results 21 to 30 of about 12,054 (243)

Band Priority Index: A Feature Selection Framework for Hyperspectral Imagery

Remote Sensing, 2018
Hyperspectral Band Selection (BS) aims to select a few informative and distinctive bands to represent the whole image cube. In this paper, an unsupervised BS framework named the band priority index (BPI) is proposed.
Wenqiang Zhang, Xiaorun Li, Liaoying Zhao   +2 more
doaj   +2 more sources

An Unsupervised Band Selection Method via Contrastive Learning for Hyperspectral Images

Remote Sensing, 2023
Band selection (BS) is an efficacious approach to reduce hyperspectral information redundancy while preserving the physical meaning of hyperspectral images (HSIs).
Xiaorun Li, Yufei Liu, Ziqiang Hua, Shuhan Chen   +3 more
doaj   +2 more sources

Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications [PDF]

Journal of Imaging, 2020
Despite the numerous band selection (BS) algorithms reported in the field, most if not all have exhibited maximal accuracy when more spectral bands are utilized for classification.
Ruben Moya Torres, Peter W.T. Yuen, Changfeng Yuan, Johathan Piper, Chris McCullough, Peter Godfree   +5 more
doaj   +2 more sources

Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image

IET Computer Vision, 2019
Hyperspectral imaging makes it possible to obtain object information with fine spectral resolution as well as spatial resolution, which is beneficial to a wide array of applications. However, there is a high correlation among the bands in a hyperspectral
Xuefeng Jiang, Lin Zhang, Junrui Liu, Shuying Li   +3 more
doaj   +2 more sources

Double Deep Q-Network for Hyperspectral Image Band Selection in Land Cover Classification Applications

Remote Sensing, 2023
Hyperspectral data usually consists of hundreds of narrow spectral bands and provides more detailed spectral characteristics compared to commonly used multispectral data in remote sensing applications.
Hua Yang, Ming Chen, Guowen Wu, Jiali Wang, Yingxi Wang, Zhonghua Hong   +5 more
doaj   +2 more sources

Hyperspectral Band Selection via Heterogeneous Graph Convolutional Self-Representation Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) band selection (BS) plays a crucial role in HSI dimensionality reduction, aiming to identify a representative subset of bands with minimal redundancy. However, conventional BS approaches primarily operate in the Euclidean domain,
Junde Chen, Wenzhao Li, Surendra Maharjan, Hesham El-Askary   +3 more
doaj   +3 more sources

Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection

IET Image Processing
As one of the dimensionality reduction techniques of hyperspectral image (HSI), band selection (BS) does not change the spectral characteristics and physical meaning of HSIs, which is beneficial to the identification and analysis of surface objects ...
Xiaodi Shang, Yiqi Duan, Xiaopeng Wang, Baijia Fu, Xudong Sun   +4 more
doaj   +2 more sources

MOBS-TD: Multiobjective Band Selection With Ideal Solution Optimization Strategy for Hyperspectral Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Band selection (BS) is a crucial concept within the realm of remote sensing, involving the selection of the most suitable bands to accurately capture features of landforms and surfaces.
Xudong Sun, Peng Lin, Xiaodi Shang, Huijuan Pang, Xianping Fu   +4 more
doaj   +2 more sources

Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images

Remote Sensing, 2017
Traditional supervised band selection (BS) methods mainly consider reducing the spectral redundancy to improve hyperspectral imagery (HSI) classification with class labels and pairwise constraints. A key observation is that pixels spatially close to each
Chen Yang, Yulei Tan, Lorenzo Bruzzone, Laijun Lu, Renchu Guan   +4 more
doaj   +2 more sources

Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images

Remote Sensing, 2017
This paper proposes to use band selection-based dimensionality reduction (BS-DR) technique in addressing a challenging multi-temporal hyperspectral images change detection (HSI-CD) problem. The aim of this work is to analyze and evaluate in detail the CD
Sicong Liu, Qian Du, Xiaohua Tong, Alim Samat, Haiyan Pan, Xiaolong Ma   +5 more
doaj   +2 more sources