Joint Multi-scale Convolution Neural Network for Scene Classification of High Resolution Remote Sensing Imagery
High resolution remote sensing imagery scene classification is important for automatic complex scene recognition, which is the key technology for military and disaster relief, etc. In this paper, we propose a novel joint multi-scale convolution neural network (JMCNN) method using a limited amount of...
Main Authors: | , , , , , |
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Format: | Article |
Language: | zho |
Published: |
Surveying and Mapping Press
2018-05-01
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Series: | Acta Geodaetica et Cartographica Sinica |
Subjects: | |
Online Access: | http://html.rhhz.net/CHXB/html/2018-5-620.htm |