Convolutional Deep Kernel Method for Land Cover Mapping from Hyperspectral Imagery-Reference-Cited by-同舟云学术

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Convolutional Deep Kernel Method for Land Cover Mapping from Hyperspectral Imagery

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Ansari Mohsen¹,Huang Weimin²,Homayouni Saeid³,Niazmardi Saeid⁴,Safari Abdolreza¹

Affiliation:

1. College of Eng., University of Tehran,School of Surveying and Geospatial Eng.,Tehran,Iran

2. Memorial University of Newfoundland,Faculty of Engineering and Applied Science,Canada

3. Centre Eau Terre Environnement,INRS,Quebec,Canada

4. Graduate University of Advanced Technology,Dept. of Civil & Surveying Eng.,Kerman,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883309.pdf?arnumber=9883309

Reference14 articles.

1. Kernel methods for DL;cho;Adv in Neural Inf Process Syst,2009

2. An Ensemble of Deep Support Vector Machines for Image Categorization

3. Kernelized support vector machine with deep learning: An efficient approach for extreme multiclass dataset

4. GENETIC ALGORITHM BASED FEATURE SELECTION FOR LANDSLIDE SUSCEPTIBILITY MAPPING IN NORTHERN IRAN

5. WATER SALINITY MAPPING OF KARUN BASIN LOCATED IN IRAN USING THE SVR METHOD

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