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
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
An Improved Ant Colony Algorithm for Optimized Band Selection of Hyperspectral Remotely Sensed Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2971327
Abstract: 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… read more here.
Keywords: colony; colony algorithm; imagery; ant colony ... See more keywords
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2977454
Abstract: Hyperspectral imaging has become a mature technology which brings exciting possibilities in various domains, including satellite image analysis. However, the high dimensionality and volume of such imagery is a serious problem which needs to be… read more here.
Keywords: band selection; hyperspectral band; attention; attention based ... See more keywords
Hyperspectral Band Selection Using Weighted Kernel Regularization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2922201
Abstract: A band selection method named weighted kernel regularization (WKR) is proposed for hyperspectral imagery (HSI) classification. The WKR aims to select dissimilar and class-separable bands to better model the relationship between labeled samples. First, the… read more here.
Keywords: using weighted; band; kernel regularization; band selection ... See more keywords