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SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES USING VARIATIONAL AUTOENCODER AND CONVOLUTION NEURAL NETWORK
Hyperspectral classification feature extraction spectral channels deep learning
2019/2/28
In this paper, we propose a spectral-spatial feature extraction framework based on deep learning (DL) for hyperspectral image (HSI) classification. In this framework, the variational autoencoder (VAE)...
CONTINUOUS CHANGE DETECTION OF URBAN LAKES IN WUHAN, CHINA USING MULTI-TEMPORAL REMOTE SENSING IMAGES
Change Detection Urban Lakes Multi-temporal Remote Sensing Images Modified NDWI Wuhan City
2018/5/16
Urban lakes are important natural, scenic and pattern attractions of the city, and they are potential development resources as well. However, lots of urban lakes in China have been shrunk significantl...
URBAN SHANTY TOWN RECOGNITION BASED ON HIGH-RESOLUTION REMOTE SENSING IMAGES AND NATIONAL GEOGRAPHICAL MONITORING FEATURES – A CASE STUDY OF NANNING CITY
Gray-level co-occurrence matrix shanty town residential suitability nearest neighbour
2018/5/14
Urban shanty towns are communities that has contiguous old and dilapidated houses with more than 2000 square meters built-up area or more than 50 households. This study makes attempts to extract shant...
EXTRACTION AND CLASSIFICATION OF WETLAND FEATURES THROUGH FUSION OF REMOTE SENSING IMAGES IN THE OKAVANGO DELTA, BOTSWANA
Remote sensing land cover classification extraction fusion multisensor multiresolution
2015/7/29
The Okavango delta in northwestern Botswana is an extremely complex and dynamic wetland ecosystem. The spatial information on
diverse wetland features of the delta is needed for hydrological modeling...