CraterIDNet: An End-to-End Fully Convolutional Neural Network for Crater Detection and Identification in Remotely Sensed Planetary Images.
Hao WangJie JiangGuangjun ZhangPublished in: Remote. Sens. (2018)
Keyphrases
- end to end
- text localization and recognition
- remotely sensed
- change detection
- satellite images
- remote sensing
- remotely sensed images
- image data
- convolutional neural network
- multispectral
- detection rate
- circular hough transform
- hyperspectral images
- infrared
- edge detection
- neural network
- image analysis
- data streams
- hyperspectral
- satellite imagery
- high frequency
- object detection
- high resolution
- object recognition
- face recognition
- image processing
- machine learning