DCL-Net: Augmenting the Capability of Classification and Localization for Remote Sensing Object Detection.
Enhai LiuYu ZhengBin PanXia XuZhenwei ShiPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- remote sensing
- object detection
- multi spectral images
- hyperspectral images
- remotely sensed
- change detection
- remote sensing images
- multispectral
- hyperspectral
- remote sensing data
- satellite images
- high resolution
- hyperspectral data
- land cover classification
- image fusion
- object classification
- remote sensing imagery
- satellite imagery
- image analysis
- automatic image registration
- satellite data
- high spatial resolution
- pattern recognition
- land cover
- digital image analysis
- earth observation
- machine learning
- image processing
- landsat tm
- remotely sensed images
- hyperspectral imagery
- remotely sensed data
- remote sensed images
- image classification
- supervised learning
- high quality
- earth science
- remotely sensed imagery
- wavelet transform
- feature selection
- feature space
- feature vectors
- multiresolution
- multi class
- hyperspectral imaging
- human skin
- digital images
- unsupervised learning
- infrared
- spatial databases
- supervised classification
- geographical information systems
- pixel classification