Scene classification of high-resolution remote sensing images based on IMFNet
Author:
Affiliation:
1. Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun
Funder
National Natural Science Foundation of China
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference74 articles.
1. Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
2. Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest
3. Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA
4. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
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