Dense Optical Flow Method for Intelligently Extracting Seamline of Orthophotos

ZHANG Chunsen; ZHANG Yueying; GUO Bingxuan; REN Li

doi:10.13203/j.whugis20200573

Volume 47 Issue 2

Feb. 2022

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Geomatics and Information Science of Wuhan University > 2022 > 47(2): 261-268. > DOI: 10.13203/j.whugis20200573

ZHANG Chunsen, ZHANG Yueying, GUO Bingxuan, REN Li. Dense Optical Flow Method for Intelligently Extracting Seamline of Orthophotos[J]. Geomatics and Information Science of Wuhan University, 2022, 47(2): 261-268. DOI: 10.13203/j.whugis20200573

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Dense Optical Flow Method for Intelligently Extracting Seamline of Orthophotos

1.
College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
2.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
3.
Xi'an Zhongkexingtu Space Data Technology Co., Ltd, Xi'an 710100, China

Funds:

The National Natural Science Foundation of China 92038301

the Natural Science Foundation of Shaanxi Province 2018JM5103

the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources KF-2018-03-052

More Information

Author Bio:
ZHANG Chunsen, PhD, professor, specializes in photogrammetry computer vision and remote sensing application. E-mail: zhchunsen@aliyun.com
Corresponding author:
GUO Bingxuan, PhD, professor. E-mail: mobilemap@163.com
Received Date: July 27, 2021
Published Date: February 04, 2022

Graphical Abstract

Abstract

Abstract

Objectives Geometric misalignment is one of the key problems for orthophoto mosaicking. To solve this problem, this paper proposes a regional seamline detection algorithm based on dense optical flow.
Methods Firstly, the cost image is constructed with dense optical flow, gradient information and gray information. And the cost image is regarded as a weighted undirected graph. Secondly, the principle of maximum flow and minimum cut is used to search for seamline based on graph-cut model.
Results The experiment results show that the seamline cost of the sparse building area greater than 100 pixels obtained by the proposed method only accounts for 0.7% of the path length. And the search efficiency of the proposed method is increased by 17% compared with OrthoVista software.
Conclusions The proposed method can automatically avoid passing the building area and the areas with large projection in digital orthophoto map, greatly reduce the probability of geometric dislocation phenomenon of image mosaicking, and realize the intelligence of orthophoto seamline searching.
- digital orthophoto map (DOM),
- dense optical flow,
- seamline,
- graph cut model,
- intelligent search

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[1]	靳建立. 基于DSM的遥感影像拼接关键技术研究[D]. 郑州: 信息工程大学, 2009 Jin Jianli. A Study on DSM-Based Mosaicking Techniques for Remote Sensing Imagery[D]. Zhengzhou: Information Engineering University, 2009
[2]	蔡平, 万一, 张永军, 等. 点云信息辅助的航空正射影像自动镶嵌方法[J]. 测绘地理信息, 2021, 46(S1): 200-204 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXG2021S1047.htm Cai Ping, Wan Yi, Zhang Yongjun, et al. Automated Seamline Detection for Aerial Orthophoto Mosaicking Assisted by Point Cloud Information[J]. Journal of Geomatics, 2021, 46(S1): 200-204 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXG2021S1047.htm
[3]	荣利会, 戴晨光, 聂海滨, 等. OESM辅助的高分辨率航空正射影像拼接线自动检测算法[J]. 测绘科学技术学报, 2017, 34(2): 162-167 https://www.cnki.com.cn/Article/CJFDTOTAL-JFJC201702010.htm Rong Lihui, Dai Chenguang, Nie Haibin, et al. Automatic Seamline Detection Algorithm for High Resolution Aerial Orthoimages with the Auxiliary Orthoimage Elevation Synchronization Model[J]. Journal of Geomatics Science and Technology, 2017, 34(2): 162-167 https://www.cnki.com.cn/Article/CJFDTOTAL-JFJC201702010.htm
[4]	李朋龙, 邓非, 李海亮, 等. 基于有效区域约束的GPU-CPU协同影像快拼方法[J]. 武汉大学学报·信息科学版, 2018, 43(2): 304-310 doi: 10.13203/j.whugis20150284 Li Penglong, Deng Fei, Li Hailiang, et al. A Method of GPU-CPU Co-Processing Rapid Images Mosaicking Based on Valid Areas[J]. Geomatics and Information Science of Wuhan University, 2018, 43(2): 304-310 doi: 10.13203/j.whugis20150284
[5]	李婉, 赵双明, 张卫龙, 等. 一种无人机影像滤波分频拼接算法[J]. 武汉大学学报·信息科学版, 2018, 43(6): 943-950 doi: 10.13203/j.whugis20160108 Li Wan, Zhao Shuangming, Zhang Weilong, et al. A Mosaic Method for UAV Images Based on Filtering[J]. Geomatics and Information Science of Wuhan University, 2018, 43(6): 943-950 doi: 10.13203/j.whugis20160108
[6]	杨超. 基于图像分割的高分影像镶嵌线快速生成算法研究[D]. 杭州: 杭州师范大学, 2018 Yang Chao. Research on Fast Detection of Seam-Line for GF Image via Image Segmentation[D]. Hangzhou: Hangzhou Normal University, 2018
[7]	丁锴为, 邹峥嵘, 张云生, 等. 基于图割算法的正射影像镶嵌线自动选择[J]. 测绘与空间地理信息, 2016, 39(9): 54-56 https://www.cnki.com.cn/Article/CJFDTOTAL-DBCH201609016.htm Ding Kaiwei, Zou Zhengrong, Zhang Yunsheng, et al. Automatically Seam-Line Selection for Mosaicking Ortho-Photo via Graph Cut Algorithm[J]. Geomatics & Spatial Information Technology, 2016, 39(9): 54-56 https://www.cnki.com.cn/Article/CJFDTOTAL-DBCH201609016.htm
[8]	张莎莎. 基于语义分割的数字正射影像镶嵌及其质量评价方法研究[D]. 武汉: 武汉大学, 2018 Zhang Shasha. Research on Orthophoto Mosaicking and Quality Evaluation Methods Based on Semantic Segmentation[D]. Wuhan: Wuhan University, 2018
[9]	段梦梦. 基于视差图的数字正射影像镶嵌线自动搜索及其质量评价方法研究[D]. 武汉: 武汉大学, 2015 Duan Mengmeng. Research on Seam Line Detection and Quality Evaluation Methods for Orthophoto Mosaicking Based on Disparity Map[D]. Wuhan: Wuhan University, 2015
[10]	宫思伟, 陈时雨, 蔡杨. 最小化最大边权的正射影像镶嵌线自动搜索[J]. 测绘地理信息, 2020, 45(4): 104-109 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXG202004022.htm Gong Siwei, Chen Shiyu, Cai Yang. Seamline Detection for Orthoimage Mosaicking Based on Minimizing the Maximum Edge Weight Algorithm[J]. Journal of Geomatics, 2020, 45(4): 104-109 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXG202004022.htm
[11]	Farnebäck G. Two-Frame Motion Estimation Based on Polynomial Expansion[M]//Image Analysis. Berlin, Heidelberg: Springer, 2003

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