Fine-Grained Classification of Optical Remote Sensing Ship Images Based on Deep Convolution Neural Network.
Yantong ChenZhongling ZhangZekun ChenYanyan ZhangJunsheng WangPublished in: Remote. Sens. (2022)
Keyphrases
- fine grained
- remote sensing
- multi spectral images
- satellite images
- hyperspectral images
- image analysis
- remotely sensed
- remote sensing imagery
- high spatial resolution
- multispectral
- hyperspectral data
- coarse grained
- neural network
- remote sensing images
- change detection
- hyperspectral
- image classification
- pattern recognition
- image processing
- satellite imagery
- remotely sensed images
- digital image analysis
- remote sensing data
- landsat tm
- high resolution satellite images
- image data
- land cover classification
- remotely sensed data
- automatic image registration
- land cover
- access control
- optical images
- human skin
- satellite data
- google earth
- high resolution
- hyperspectral imagery
- multispectral images
- image registration
- input image
- image fusion
- remote sensed images
- machine learning
- spectral data
- image features
- spectral resolution
- co occurrence
- feature vectors
- feature extraction
- hyperspectral remote sensing