Band selection for mapping chromophores of skin tissue
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200038
Abstract: A numerical approach has been proposed to identify bands for optimally estimating the concentration of three types of viable chromophores within biological tissue. The bands are determined according to the condition number of absorption matrix… read more here.
Keywords: mapping chromophores; chromophores skin; band selection; selection mapping ... See more keywords
A Band Selection Method for Hyperspectral Image Based on Particle Swarm Optimization Algorithm with Dynamic Sub-Swarms
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-018-1348-9
Abstract: Band selection is an effective means to reduce the hyperspectral data size and to overcome the Hughes phenomenon in ground object classification. This paper presents a band selection method based on particle swarm dynamic with… read more here.
Keywords: sub swarms; band selection; optimization; particle swarm ... See more keywords
Fast hyperspectral band selection based on spatial feature extraction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-018-0777-9
Abstract: Hyperspectral images usually consist of hundreds of spectral bands, which can be used to precisely characterize different land cover types. However, the high dimensionality also has some disadvantages, such as the Hughes effect and a… read more here.
Keywords: selection; spatial feature; band; band selection ... See more keywords
Two-Level Band Selection Framework for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-020-01262-w
Abstract: Dimensionality reduction strategies can be broadly categorized as band selection and feature extraction. Researchers and analysts from the remote sensing community give greater preference to band selection over feature extraction as the latter modifies the… read more here.
Keywords: band; selection framework; band selection; two level ... See more keywords
Hyperspectral band selection for soybean classification based on information measure in FRS theory
Sign Up to like & getrecommendations! Published in 2019 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2018.12.002
Abstract: Soybeans and soy foods have attracted widespread attention due to their health benefits. Special varieties of soybeans are in demand from soybean processing enterprises. Because of the advantage of rapid measurement with minimal sample preparation,… read more here.
Keywords: membership; classification; band selection; selection ... See more keywords
Supervised band selection in hyperspectral images using single-layer neural networks
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1553322
Abstract: ABSTRACT Hyperspectral images provide fine details of the scene under analysis in terms of spectral information. This is due to the presence of contiguous bands that make possible to distinguish different objects even when they… read more here.
Keywords: single layer; neural networks; band; band selection ... See more keywords
A band selection approach based on Lévy sine cosine algorithm and alternative distribution for hyperspectral image
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1706010
Abstract: ABSTRACT Hyperspectral image (HSI) has become one of the most important remote sensing techniques for object interpretation by its abundant band information. As the data dimension increases, band selection technique is utilized to achieve the… read more here.
Keywords: hyperspectral image; band; band selection; sine cosine ... See more keywords
A hyperspectral band selection strategy based on adjacency clustering and local structural correlation
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2305178
Abstract: ABSTRACT A popular strategy to reduce the spectral size of HyperSpectral Images (HSI) is to suppress all bands whose information content is largely duplicated in surviving bands. This is commonly termed Band Selection (BS). In… read more here.
Keywords: band selection; band; correlation; adjacency clustering ... See more keywords
Hypergraph-regularized low-rank tensor subspace clustering for hyperspectral band selection
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2025.2452311
Abstract: ABSTRACT Band selection for hyperspectral images (HSIs) is an effective strategy to reduce data redundancy by selecting few representative bands, which boosts subsequent HSI applications. In this paper, we propose a novel hypergraph regularized low-rank… read more here.
Keywords: subspace; band selection; low rank;
Unsupervised band selection of hyperspectral data based on mutual information derived from weighted cluster entropy for snow classification
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2019.1665717
Abstract: Abstract Information on the spatial and temporal extent of snow cover distribution is a significant input in hydrological processes and climate models. Although hyperspectral remote sensing provides significant opportunities in the assessment of land cover,… read more here.
Keywords: information; hyperspectral data; band; band selection ... See more keywords
KDANet: a farmland extraction network using band selection and dual attention fusion – a case study of paddy fields and irrigated land in Qingtongxia, China
Sign Up to like & getrecommendations! Published in 2025 at "Geocarto International"
DOI: 10.1080/10106049.2025.2465518
Abstract: Abstract Food security is a critical global issue, and accurate monitoring of farmland is essential to address this challenge. However, farmland extraction accuracy is often hindered by variations in land types and scales. We propose… read more here.
Keywords: band selection; selection dual; farmland extraction; attention ... See more keywords