Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images.
Gong ChengPeicheng ZhouJunwei HanPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- remote sensing images
- change detection
- rotation invariant
- remote sensing
- object detection
- multispectral
- convolutional neural networks
- aerial images
- marked point processes
- multispectral images
- image data
- high quality
- hyperspectral
- satellite images
- multi class
- local binary pattern
- texture analysis
- texture classification
- face detection
- multiresolution
- data streams
- pattern recognition
- multiscale
- data sets
- landsat etm