Improving Land Cover Change Detection and Classification With BRDF Correction and Spatial Feature Extraction Using Landsat Time Series: A Case of Urbanization in Tianjin, China.
Yuwei GuanYanru ZhouBinbin HeXiangzhuo LiuHongguo ZhangShilei FengPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- change detection
- land cover
- remotely sensed
- remote sensing data
- remotely sensed data
- remote sensing images
- feature extraction
- satellite images
- remote sensing
- landsat tm
- multispectral
- supervised classification
- land cover classification
- satellite imagery
- remotely sensed images
- remote sensing imagery
- land cover change
- feature vectors
- geographic information systems
- machine learning
- normalized difference vegetation index
- image classification
- data streams
- spatial data
- feature selection
- multispectral images
- pattern recognition
- feature space
- urban areas
- unsupervised learning
- hyperspectral images
- data sets
- gamma distributions
- face recognition
- digital elevation models
- climate change
- earth science
- image registration
- hyperspectral
- hyperspectral imagery
- training set
- image analysis
- video sequences
- dimensionality reduction
- image segmentation
- spatial information