Deforestation change detection using high-resolution multi-temporal X-Band SAR images and supervised learning classification.
Thiago Luiz Morais BarretoRafael A. S. RosaChristian WimmerJoao B. NogueiraJurandy AlmeidaFabio Augusto Menocci CappabiancoPublished in: IGARSS (2016)
Keyphrases
- change detection
- sar images
- supervised learning
- gamma distributions
- remote sensing
- high resolution
- satellite images
- synthetic aperture radar
- remote sensing images
- unsupervised learning
- supervised classification
- automatic target recognition
- pattern recognition
- machine learning
- hyperspectral images
- training set
- wavelet domain
- data streams
- land cover
- feature vectors
- multispectral
- high frequency
- image classification
- oil spill
- image registration
- super resolution
- sar imagery
- semi supervised
- edge detector
- feature selection
- image processing
- feature extraction
- high quality
- multiscale
- image fusion
- co occurrence
- feature space
- image analysis