Object Detection and Trcacking Based on Convolutional Neural Networks for High-Resolution Optical Remote Sensing Video.
Biao HouJingliang LiXiangrong ZhangShuang WangLicheng JiaoPublished in: IGARSS (2019)
Keyphrases
- remote sensing
- high resolution
- convolutional neural networks
- object detection
- change detection
- multispectral
- remote sensing images
- remote sensing imagery
- high spatial resolution
- image analysis
- image fusion
- hyperspectral
- image processing
- satellite images
- remote sensing data
- video sequences
- video data
- medical imaging
- automatic image registration
- digital image analysis
- super resolution
- computer vision
- optical images
- remotely sensed
- multi spectral images
- high quality
- land cover
- hyperspectral imagery
- satellite data
- spatial resolution
- video processing
- background subtraction
- earth science
- hyperspectral images
- high frequency
- face detection
- hyperspectral remote sensing
- satellite imagery
- remote sensed images
- geographical information systems
- remotely sensed images
- neural network
- video surveillance
- space time
- remotely sensed data
- object recognition