Building segmentation in high-resolution remote sensing image through deep neural network and conditional random fields

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Building segmentation in high-resolution remote sensing image through deep neural network and conditional random fields
- role：First author第一作者
- Affiliation：
  School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
  Field Scientific Observation and Research Base of Ministry of Land and Resources, Henan Polytechnic University, Jiaozuo 454000, China
- Email：wangyu@hpu.edu.cn
- Introduction：王宇，1978年生，讲师，研究方向为土地利用规划、遥感图像处理等。E-mail：wangyu@hpu.edu.cn
WANG Yu
12 * ,
- Affiliation：
  School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
YANG Yi
3 * ,
- Affiliation：
  School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
WANG Baoshan
1 * ,
- Affiliation：
  School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
WANG Tian
4 * ,
- Affiliation：
  School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
BU Xuhui
3 * ,
- Affiliation：
  School of Computer Science, Shenyang Aerospace University, Shenyang 110136, China
WANG Chuanyun
5 *
Vol. 23, Issue 6, Pages: 1194-1208(2019)
Accepted：15 June 2018 ，
DOI：10.11834/jrs.20198141
Accepted：

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