The Application of Remote Sensing Technology to the Interpretation of Land Use for Rainfall-Induced Landslides Based on Genetic Algorithms and Artificial Neural Networks.
Yie-Ruey ChenJing-Wen ChenShun-Chieh HsiehPo-Ning NiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2009)
Keyphrases
- remote sensing
- artificial neural networks
- remote sensing images
- land cover
- multispectral
- change detection
- genetic algorithm
- remote sensing image processing
- satellite images
- remote sensing data
- remote sensing imagery
- image analysis
- image processing
- hyperspectral
- neural network
- high spatial resolution
- climate change
- high resolution
- satellite imagery
- image fusion
- land cover classification
- automatic image registration
- geographical information systems
- hyperspectral imagery
- satellite data
- remote sensed images
- remotely sensed images
- remotely sensed imagery
- remotely sensed data
- digital image analysis
- multi spectral images
- weather prediction
- earth science
- hyperspectral images
- image classification