A review of unsupervised band selection techniques: Land cover classification for hyperspectral earth observation data

RN Patro, S Subudhi, PK Biswal… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
A hyperspectral image (HSI) is a collection of several narrow-band images that span a wide
spectral range. Each band reflects the same scene, composed of various objects imaged at …

[HTML][HTML] Early detection of bacterial wilt in tomato with portable hyperspectral spectrometer

Y Cen, Y Huang, S Hu, L Zhang, J Zhang - Remote Sensing, 2022 - mdpi.com
As a kind of soil-borne epidemic disease, bacterial wilt (BW) is one of the most serious
diseases in tomatoes in southern China, which may significantly reduce food quality and the …

[PDF][PDF] A survey of band selection techniques for hyperspectral image classification

SS Sawant, M Prabukumar - Journal of Spectral Imaging, 2020 - pdfs.semanticscholar.org
The hyperspectral imaging technology discussed here captures a scene by using various
imaging spectrometer sensors [eg Airborne Visible Infrared Imaging Spectrometer (AVIRIS) …

An ant interaction scheme based wrapper strategy for hyperspectral band selection

K Deep, BD Verma, M Thakur - Infrared Physics & Technology, 2025 - Elsevier
Hyperspectral imaging acquires information in an extensive range of narrow and contiguous
spectral bands. However, information redundancy in neighboring bands directly affects …

Band selection technique for crop classification using hyperspectral data

K Dave, T Vyas, YN Trivedi - Journal of the Indian Society of Remote …, 2022 - Springer
Hyperspectral datasets are widely used in many applications of remote sensing in the fields
of agriculture, forestry, weather, urban planning, water study, biodiversity and surface …

Derivative-based band clustering and multi-agent PSO optimization for optimal band selection of hyper-spectral images

KR Kalidindi, PSV Gottumukkala, R Davuluri - The Journal of …, 2020 - Springer
Images (HSIs) are popular in diversified applications, such as geosciences, biomedical
imaging, molecular biology, agriculture, astronomy, food quality and safety assessment …

Thermal infrared hyperspectral image band selection based on dynamic metric-guided particle swarm optimization for quantitative analysis of potash

L Cao, L Gao, Y Wan, X Zhang, L Gao… - International Journal of …, 2024 - Taylor & Francis
Potash plays an important role in agriculture and food security, so does the estimation of the
content of substances in potash. Chemical methods for such estimation tasks are time …

A band selection method of hyperspectral remote sensing based on particle frog lea** algorithm

L Mu, C Zhang, P Chi, L Liu - Optoelectronics Letters, 2018 - Springer
Dimensionality reduction is becoming an important problem in hyperspectral image
classification. Band selection as an effective dimensionality reduction method has attracted …

[PDF][PDF] SPECTRAL DISCRIMINATION AND INDEX DEVELOPMENT OF ROOFING MATERIALS AND CONDITIONS USING FIELD SPECTROSCOPY AND …

SHB SAMSUDIN - 2016 - psasir.upm.edu.my
The development of remote sensing technology has improved urban map** tasks to
provide essential information in urban monitoring and urban management. The motivation …