A New Re-Ranking Method Based on Convolutional Neural Network and Two Image-to-Class Distances for Remote Sensing Image Retrieval.
Famao YeMeng DongWei LuoXiaoyong ChenWeidong MinPublished in: IEEE Access (2019)
Keyphrases
- remote sensing
- image retrieval
- image analysis
- satellite images
- high resolution
- high spatial resolution
- remote sensing data
- hyperspectral images
- change detection
- image content
- multispectral
- image representation
- hyperspectral
- remotely sensed images
- satellite imagery
- image data
- remote sensing images
- input image
- high resolution satellite images
- image fusion
- multi spectral images
- image processing
- remote sensing imagery
- image classification
- image features
- remotely sensed data
- convolutional neural network
- hyperspectral data
- image segmentation
- multiscale
- multispectral images
- satellite data
- remote sensed images
- spatial resolution
- hyperspectral imagery
- land cover
- digital images
- automatic image registration
- geographical information systems
- digital image analysis
- data streams
- machine learning