A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images.
Chenxiao ZhangPeng YueDeodato TapeteBoyi ShangguanMi WangZhaoyan WuPublished in: Int. J. Appl. Earth Obs. Geoinformation (2020)
Keyphrases
- classification method
- remote sensing images
- land cover classification
- multispectral
- land cover
- remote sensing
- convolutional neural network
- remote sensing data
- high spatial resolution
- remote sensing imagery
- change detection
- k nearest neighbor
- hyperspectral
- image data
- support vector machine svm
- knn
- satellite images
- classification algorithm
- spatial resolution
- text classification
- image analysis
- satellite data
- multispectral images
- supervised classification
- urban areas
- image processing
- neural network
- information retrieval
- face detection
- wavelet transformation
- support vector machine
- text categorization
- high resolution
- high dimensional