Open-Pit Mine Area Mapping With Gaofen-2 Satellite Images Using U-Net+

Author:

Chen Tao1ORCID,Zheng Xiaoxiong1,Niu Ruiqing1,Plaza Antonio2ORCID

Affiliation:

1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

2. Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain

Funder

National Natural Science Foundation of China

Opening Foundation of Qilian Mountain National Park Research Center

Opening Foundation of Beijing Key Laboratory of Urban Spatial Information Engineering

Opening Foundation of Geomatics Technology and Application Key Laboratory of Qinghai Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference44 articles.

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2. Enhanced deep residual networks for single image super-resolution;lee;Proc Comput Vis Pattern Recognit,2017

3. Research on image denoising based on deep convolutional neural network;li;Comput Eng,2017

4. A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification

5. Research on the priority of the land use types extraction of opencast mine area based on object-oriented classification;song;Remote Sens Technol Appl,2016

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