Feature extraction for hyperspectral image classification: A review
Hyperspectral image sensors capture surface reflectance over a range of wavelengths. The
fine spectral information is recorded in terms of hundreds of bands. Hyperspectral image …
fine spectral information is recorded in terms of hundreds of bands. Hyperspectral image …
[BOOK][B] Hyperspectral imaging: techniques for spectral detection and classification
CI Chang - 2003 - books.google.com
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth
of the research conducted over the years in the Remote Sensing Signal and Image …
of the research conducted over the years in the Remote Sensing Signal and Image …
Hyperspectral remote sensing classifications: a perspective survey
Classification of hyperspectral remote sensing data is more challenging than multispectral
remote sensing data because of the enormous amount of information available in the many …
remote sensing data because of the enormous amount of information available in the many …
Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope map** using airborne hyperspectral …
JCW Chan, D Paelinckx - Remote Sensing of Environment, 2008 - Elsevier
Detailed land use/land cover classification at ecotope level is important for environmental
evaluation. In this study, we investigate the possibility of using airborne hyperspectral …
evaluation. In this study, we investigate the possibility of using airborne hyperspectral …
A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification
Hyperspectral imaging fully portrays materials through numerous and contiguous spectral
bands. It is a very useful technique in various fields, including astronomy, medicine, food …
bands. It is a very useful technique in various fields, including astronomy, medicine, food …
Feature mining for hyperspectral image classification
Hyperspectral sensors record the reflectance from the Earth's surface over the full range of
solar wavelengths with high spectral resolution. The resulting high-dimensional data contain …
solar wavelengths with high spectral resolution. The resulting high-dimensional data contain …
Land subsidence due to groundwater withdrawal in the northern Bei**g plain, China
Bei**g is an international metropolis, where over-exploration of water resource makes land
subsidence becoming more and more serious. The related problems cannot be avoided in …
subsidence becoming more and more serious. The related problems cannot be avoided in …
Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification
X Jia, JA Richards - IEEE transactions on Geoscience and …, 1999 - ieeexplore.ieee.org
A segmented, and possibly multistage, principal components transformation (PCT) is
proposed for efficient hyperspectral remote-sensing image classification and display. The …
proposed for efficient hyperspectral remote-sensing image classification and display. The …
Review article hyperspectral geological remote sensing: evaluation of analytical techniques
EA Cloutis - International Journal of Remote Sensing, 1996 - Taylor & Francis
Improvements in optical remote sensing spectral resolution and increased data volumes
necessitates the development of improved techniques for quantitative geological analysis …
necessitates the development of improved techniques for quantitative geological analysis …
Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA
Landslide detection from extensive remote-sensing imagery is an important preliminary work
for landslide map**, landslide inventories, and landslide hazard assessment. Aimed at …
for landslide map**, landslide inventories, and landslide hazard assessment. Aimed at …