Results 11 to 20 of about 3,420,393 (309)
Nonlocal Band Attention Network for Hyperspectral Image Band Selection [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Band selection (BS) is a foundational problem for the analysis of high-dimensional hyperspectral image (HSI) cubes. Recent developments in the visual attention mechanism allow for specifically modeling the complex relationship among different components.
Tiancong Li +4 more
doaj +3 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
Learning-Based Optimization of Hyperspectral Band Selection for Classification
Remote Sensing, 2023 Hyperspectral sensors acquire spectral responses from objects with a large number of narrow spectral bands. The large volume of data may be costly in terms of storage and computational requirements.
Qian Du +2 more
exaly +2 more sources
Spatial Mutual Information Based Hyperspectral Band Selection for Classification [PDF]
The Scientific World Journal, 2015 The amount of information involved in hyperspectral imaging is large. Hyperspectral band selection is a popular method for reducing dimensionality. Several information based measures such as mutual information have been proposed to reduce information ...
Anthony Amankwah
doaj +2 more sources
Remote SensingAs one of the most important techniques for hyperspectral image dimensionality reduction, band selection has received considerable attention, whereas self-representation subspace clustering-based band selection algorithms have received quite a lot of ...
Yulei Wang +5 more
doaj +2 more sources
HYBASE: hyperspectral band selection [PDF]
SPIE Proceedings, 2009 Band selection is essential in the design of multispectral sensor systems. This paper describes the TNO hyperspectral band selection tool HYBASE. It calculates the optimum band positions given the number of bands and the width of the spectral bands.
Schwering, P.B.W. +2 more
openaire +2 more sources
Band Subset Selection for Hyperspectral Image Classification [PDF]
Remote Sensing, 2018 This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one ...
Chunyan Yu, Meiping Song, Chein-I Chang
doaj +2 more sources
An Enhanced Jaya Algorithm with Mutation and Diversity-Preserving Strategies for Hyperspectral Band Selection [version 2; peer review: 2 approved] [PDF]
F1000ResearchHyperspectral band selection has become a key focus in hyperspectral image processing as it reduces the spectral redundancy and computational overhead, thereby improving classification performance.
Partha Pratim Sarangi +2 more
doaj +2 more sources
Attend in Bands: Hyperspectral Band Weighting and Selection for Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 Hyperspectral remote sensing sensors have the ability to capture a wide range of spectrum of ground objects with hundreds to thousands of bands. The obtained hyperspectral images contain more detailed spectral information than conventional panchromatic or color images.
Jing Wang 0062 +2 more
openaire +4 more sources
Classification techniques for hyperspectral remote sensing [PDF]
, 2011 This study concerns with classification techniques in high dimensional space such as that of Hyperspectral Imaging (HSI) data sets, with objectives of understanding the strength and weakness of various classifiers and at the same time to study how ...
Kam, Firmin
core +7 more sources