Automatic Change Detection of Remote Sensing Image Integrated with Process Optimization

LI Sheng; TANG Lingjun; REN Fu; DU Qingyun; XIAO Ke; HAN Shanshan

doi:10.13203/j.whugis20160026

Volume 43 Issue 4

Apr. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(4): 542-547. > DOI: 10.13203/j.whugis20160026

LI Sheng, TANG Lingjun, REN Fu, DU Qingyun, XIAO Ke, HAN Shanshan. Automatic Change Detection of Remote Sensing Image Integrated with Process Optimization[J]. Geomatics and Information Science of Wuhan University, 2018, 43(4): 542-547. DOI: 10.13203/j.whugis20160026

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Automatic Change Detection of Remote Sensing Image Integrated with Process Optimization

LI Sheng^1,,
TANG Lingjun^{1, 2},
REN Fu^{1, 3},
DU Qingyun^{1, 3, ,},
XIAO Ke¹,
HAN Shanshan¹

1.
School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China
2.
Information Center of Planning & Land & Real-Estate of Shenzhen, Shenzhen 518040, China
3.
Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China

Funds:

The National Natural Science Foundation of China 41571438

the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources KF-2016-02-028

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Author Bio:
LI Sheng, PhD candidate, specializes in the theories and methods of change detection with remote sensing imagery. E-mail: shenglee@whu.edu.cn
Corresponding author:
DU Qingyun, PhD, professor. E-mail: qydu@whu.edu.cn
Received Date: October 15, 2017
Published Date: April 04, 2018

Graphical Abstract

Abstract

Abstract

At present, the method for extract change spot with remote imagery, in the law enforcement of land use, is mainly making full use of the operators' visual interpretation of the two high-resolution remote sensing imageries, to get the spatial position of the land use change. Therefore, whether the spots are right or not, it is easy to generate errors, depends by the experience of the interpreters. With general detection process, there is a good result for the particular remote sensing data. But handling the city's remote sensing image on a large scale, with various characteristics, and higher resolution, this detection method seems to be limited and hard to be applied. This paper presents a remote sensing imagechange detection process which includes two main parts:remote sensing image human-computer interactive change detection and batch automatic detection. The system has integrated thought of process optimization and the existing remote sensing image change detection methods, and used a large number of high-precision GIS data accumulated during the development of digital city, which is fully combined with the features' shape index and people's working experience. It has been applied to the extraction of land use change spot in law enforcement inspection of satellite land image in Shenzhen, improved the level of automation, and reduced the time and labor costs effectively, which is helpful for the related government to find andprevent the occurrence of illegal land use in time.
- law enforcement inspection of satellite land image,
- change spot,
- thought of process optimization,
- change detection,
- automation

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References (21)

References

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