PolarBRDF: A general purpose Python package for visualization and quantitative analysis of multi-angular remote sensing measurements.
Manoj Kumar SinghRitesh GautamCharles K. GatebeRajesh PoudyalPublished in: Comput. Geosci. (2016)
Keyphrases
- quantitative analysis
- remote sensing
- general purpose
- programming language
- remote sensing images
- change detection
- multispectral
- qualitative analysis
- image processing
- remote sensing imagery
- high resolution
- remote sensing data
- hyperspectral
- image fusion
- satellite images
- high spatial resolution
- qualitative and quantitative analysis
- qualitative evaluation
- image analysis
- automatic image registration
- digital image analysis
- medical imaging
- hyperspectral imagery
- remotely sensed images
- remotely sensed
- satellite data
- land cover
- satellite imagery
- hyperspectral remote sensing
- multi spectral images
- geographical information systems
- remotely sensed imagery
- hyperspectral imaging
- neural network
- remote sensed images
- earth observation
- multispectral images
- computer vision
- hyperspectral data
- climate change
- target detection
- data analysis
- pattern recognition
- video sequences