Effects of Lossy Compression on Remote Sensing Image Classification Based on Convolutional Sparse Coding.
Jingru WeiLi MiYe HuJing LingYawen LiZhenzhong ChenPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- sparse coding
- remote sensing
- image classification
- lossy compression
- image quality
- sparse representation
- lossless compression
- remotely sensed data
- image representation
- image compression
- remote sensing images
- multispectral
- bag of words
- high resolution
- hyperspectral
- visual words
- bit rate
- image processing
- image features
- compression ratio
- linear combination
- remote sensing data
- feature extraction
- image analysis
- natural images
- data hiding
- image patches
- visual quality
- land cover
- unsupervised learning
- image data
- feature selection
- high dimensional
- image segmentation
- super resolution
- neural network
- multiscale