Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion.
Wan WuXu LiuXiaozhen XiongQiguang YangLihang ZhouLiqiao LeiDaniel K. ZhouAllen M. LararPublished in: Remote. Sens. (2024)
Keyphrases
- hyperspectral
- machine learning
- hyperspectral images
- spectral data
- remote sensing
- hyperspectral imagery
- hyperspectral data
- multispectral
- kernel methods
- infrared
- spectral imagery
- hyperspectral remote sensing
- spectral bands
- hyperspectral imaging
- support vector machine
- image data
- target detection
- spectral resolution
- pattern recognition
- pixel classification
- hyperspectral image classification
- reflectance spectra
- remote sensing images
- computer vision
- remote sensing data
- multi band
- information content
- spatial resolution
- band selection
- remote sensing imagery
- satellite images
- image reconstruction
- natural language processing
- information extraction
- active learning
- feature selection
- change detection
- support vector
- spatial frequency
- density ratio estimation
- content aware
- mutual information
- satellite data
- color images
- learning algorithm