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A review of unsupervised band selection techniques: Land cover classification for hyperspectral earth observation data
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 …
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 …
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
The hyperspectral imaging technology discussed here captures a scene by using various
imaging spectrometer sensors [eg Airborne Visible Infrared Imaging Spectrometer (AVIRIS) …
imaging spectrometer sensors [eg Airborne Visible Infrared Imaging Spectrometer (AVIRIS) …
An ant interaction scheme based wrapper strategy for hyperspectral band selection
Hyperspectral imaging acquires information in an extensive range of narrow and contiguous
spectral bands. However, information redundancy in neighboring bands directly affects …
spectral bands. However, information redundancy in neighboring bands directly affects …
Band selection technique for crop classification using hyperspectral data
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 …
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
Images (HSIs) are popular in diversified applications, such as geosciences, biomedical
imaging, molecular biology, agriculture, astronomy, food quality and safety assessment …
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 …
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 …
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 …
provide essential information in urban monitoring and urban management. The motivation …