Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis.
Youseef AlotaibiBrindha RajendranGeetha Rani K.Surendran RajendranPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- remote sensing
- image analysis
- remotely sensed
- multispectral
- multi spectral images
- change detection
- remote sensing images
- hyperspectral images
- remote sensing imagery
- digital image analysis
- remotely sensed data
- pattern recognition
- high resolution
- hyperspectral data
- hyperspectral
- image fusion
- land cover classification
- medical imaging
- automatic image registration
- remotely sensed images
- high spatial resolution
- satellite images
- satellite imagery
- satellite data
- image processing
- landsat tm
- neural network
- remote sensing data
- hyperspectral imagery
- land cover
- deep learning
- hyperspectral imaging
- remote sensed images
- machine learning
- feature selection
- feature extraction
- feature vectors
- hyperspectral remote sensing
- computer vision
- feature space
- climate change
- remotely sensed imagery
- image classification
- unsupervised learning
- image understanding
- supervised classification
- image interpretation
- multiscale
- high resolution satellite images
- visual inspection
- geographical information systems