Application of a Hybrid Model Based on a Convolutional Auto-Encoder and Convolutional Neural Network in Object-Oriented Remote Sensing Classification.
Wei CuiQi ZhouZhendong ZhengPublished in: Algorithms (2018)
Keyphrases
- remote sensing
- convolutional neural network
- object oriented
- remotely sensed
- remote sensing images
- change detection
- multispectral
- multi spectral images
- hyperspectral images
- land cover classification
- satellite images
- image fusion
- satellite imagery
- high resolution
- automatic image registration
- digital image analysis
- image processing
- remote sensing data
- hyperspectral data
- machine learning
- image analysis
- hyperspectral
- pattern recognition
- satellite data
- land cover
- remote sensing imagery
- supervised learning
- remotely sensed data
- image classification
- supervised classification
- feature vectors
- remote sensed images
- face detection
- high spatial resolution
- relational databases
- hyperspectral imagery
- support vector machine
- digital images
- training set
- pixel classification
- image data
- target detection
- hyperspectral imaging
- feature extraction
- image sequences
- computer vision
- neural network