Progressive Sample Processing of Band Selection for Hyperspectral Image Transmission
Remote Sensing, 2018 Band selection (BS) is one of the important topics in hyperspectral image (HSI) processing. Many types of BS algorithms were proposed in the last decade. However, most of them were designed for off-line use. They can only be used with pre-collected data,
Keng-Hao Liu +3 more
doaj +2 more sources
Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification
Remote SensingBand clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue.
Chein-I Chang +2 more
doaj +3 more sources
MIMO Self-Heterodyne OFDM Using Band Selection Technique
Entropy, 2020 The 5G technology is a promising technology to cope with the increasing demand for higher data rate and quality of service. In this paper, two proposed techniques are implemented for multiple input multiple output (MIMO) self-heterodyne OFDM system to ...
Amira I. Zaki +3 more
doaj +2 more sources
An Improved Ant Colony Algorithm for Optimized Band Selection of Hyperspectral Remotely Sensed Imagery [PDF]
IEEE Access, 2020 The ant colony algorithm (ACA) has been widely used for reducing the dimensionality of hyperspectral remote sensing imagery. However, the ACA suffers from problems of slow convergence and of local optima (caused by loss of population diversity).
Xiaohui Ding +6 more
doaj +2 more sources
Classification Task-Driven Hyperspectral Band Selection via Interpretability From XGBoost
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingBand selection (BS) identifies key bands from hyperspectral imagery (HSI) for specific downstream tasks, playing a pivotal role in practical applications.
Xiaodi Shang +4 more
doaj +2 more sources
Multiple Band Prioritization Criteria-Based Band Selection for Hyperspectral Imagery
Remote Sensing, 2022 Band selection (BS) is an effective pre-processing way to reduce the redundancy of hyperspectral data. Specifically, the band prioritization (BP) criterion plays an essential role since it can judge the importance of bands from a particular perspective ...
Xudong Sun +3 more
doaj +2 more sources
SSANet-BS: Spectral–Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection
Remote SensingBand selection (BS) aims to reduce redundancy in hyperspectral imagery (HSI). Existing BS approaches typically model HSI only in a single dimension, either spectral or spatial, without exploring the interactions between different dimensions. To this end,
Chuanyu Cui +3 more
doaj +2 more sources
Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingBand selection (BS) is a critical topic in hyperspectral image dimensionality reduction, focusing on identifying representative bands that can convey the essential information of the full bands without significant loss.
Shihui Liu +4 more
doaj +2 more sources
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 +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 +3 more
doaj +2 more sources