Multi-modal deep learning for landform recognition-Reference-Cited by-同舟云学术

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Multi-modal deep learning for landform recognition

Published:2019-12 Issue: Volume:158 Page:63-75
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Du Lin,You Xiong,Li Ke^ORCID,Meng Liqiu,Cheng Gong^ORCID,Xiong Liyang^ORCID,Wang Guangxia

Funder

National Natural Science Foundation of China

China’s National Key R&D Plan

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference45 articles.

1. Segmentation optimization and stratified object-based analysis for semi-automated geomorphological mapping;Anders;Remote Sens. Environ.,2011

2. Towards structured-knowledge models for landform representation;Argialas;Zeitschrift Fr Geomorphologie N.F. Supplementband,1995

3. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information;Benz;ISPRS J. Photogram. Remote Sens.,2004

4. Multimodal feature fusion for 3D shape recognition and retrieval;Bu;IEEE MultiMedia,2014

5. Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs;Chen;IEEE Trans. Pattern Anal. Mach. Intel.,2018

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