SVM or deep learning? A comparative study on remote sensing image classification.
Peng LiuKim-Kwang Raymond ChooLizhe WangFang HuangPublished in: Soft Comput. (2017)
Keyphrases
- deep learning
- remote sensing
- image classification
- remotely sensed data
- support vector
- machine learning
- change detection
- remote sensing images
- multispectral
- unsupervised learning
- support vector machine
- image analysis
- remote sensing imagery
- high resolution
- remote sensing data
- hyperspectral
- satellite images
- feature selection
- land cover
- image processing
- image representation
- bag of words
- feature extraction
- remotely sensed
- multi class
- image features
- satellite data
- automatic image registration
- weakly supervised
- knn
- feature vectors
- earth observation
- digital image analysis
- mental models
- hyperspectral images
- sparse representation
- text classification
- feature space
- training data
- data sets
- earth science
- semi supervised
- active learning
- training set
- object recognition
- remote sensed images