Detecting Large-Scale Urban Land Cover Changes from Very High Resolution Remote Sensing Images Using CNN-Based Classification.
Chi ZhangShiqing WeiShunping JiMeng LuPublished in: ISPRS Int. J. Geo Inf. (2019)
Keyphrases
- remote sensing images
- land cover
- multispectral
- change detection
- remote sensing
- landsat etm
- land cover classification
- multi spectral images
- urban areas
- urban growth
- remotely sensed images
- remotely sensed data
- supervised classification
- remote sensing data
- landsat tm
- satellite images
- pattern recognition
- multispectral images
- climate change
- geographic regions
- remote sensing imagery
- decision trees
- marked point processes
- high spatial resolution
- hyperspectral data
- machine learning
- hyperspectral
- training set
- image data
- geographic information systems
- text classification
- unsupervised learning
- high quality
- image classification
- wavelet transformation
- supervised learning
- environmental variables
- neural network
- computer vision