Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing.
Sergio Moreno-ÁlvarezMercedes Eugenia PaolettiGabriele CavallaroJuan A. Rico-GallegoJuan Mario HautPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- remote sensing
- image classification
- heterogeneous computing
- remotely sensed data
- multispectral
- remote sensing images
- change detection
- remote sensing imagery
- hyperspectral
- image processing
- high resolution
- image analysis
- remote sensing data
- satellite images
- satellite imagery
- digital image analysis
- remotely sensed
- automatic image registration
- land cover
- high spatial resolution
- hyperspectral imagery
- distributed systems
- satellite data
- hyperspectral remote sensing
- hyperspectral images
- compute intensive
- remotely sensed images
- multi spectral images
- earth science
- feature extraction
- earth observation
- computing environments
- machine learning
- remote sensed images
- peer to peer
- distributed environment
- data management
- digital elevation models
- data intensive