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Article

An Accurate Matching Method for Projecting Vector Data into Surveillance Video to Monitor and Protect Cultivated Land

1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Department of Geomatics Engineering, Istanbul Technical University, Istanbul 36626, Turkey
3
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(7), 448; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070448
Received: 25 May 2020 / Revised: 22 June 2020 / Accepted: 15 July 2020 / Published: 17 July 2020
The integration of intelligent video surveillance and GIS (geograhical information system) data provides a new opportunity for monitoring and protecting cultivated land. For a GIS-based video monitoring system, the prerequisite is to align the GIS data with video image. However, existing methods or systems have their own shortcomings when implemented in monitoring cultivated land. To address this problem, this paper aims to propose an accurate matching method for projecting vector data into surveillance video, considering the topographic characteristics of cultivated land in plain area. Once an adequate number of control points are identified from 2D (two-dimensional) GIS data and the selected reference video image, the alignment of 2D GIS data and PTZ (pan-tilt-zoom) video frames can be realized by automatic feature matching method. Based on the alignment results, we can easily identify the occurrence of farmland destruction by visually inspecting the image content covering the 2D vector area. Furthermore, a prototype of intelligent surveillance video system for cultivated land is constructed and several experiments are conducted to validate the proposed approach. Experimental results show that the proposed alignment methods can achieve a high accuracy and satisfy the requirements of cultivated land monitoring. View Full-Text
Keywords: digital orthophoto map (DOM); cultivated land protection; video GIS; basic farmland protection zones (BFPZs) digital orthophoto map (DOM); cultivated land protection; video GIS; basic farmland protection zones (BFPZs)
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MDPI and ACS Style

Shao, Z.; Li, C.; Li, D.; Altan, O.; Zhang, L.; Ding, L. An Accurate Matching Method for Projecting Vector Data into Surveillance Video to Monitor and Protect Cultivated Land. ISPRS Int. J. Geo-Inf. 2020, 9, 448. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070448

AMA Style

Shao Z, Li C, Li D, Altan O, Zhang L, Ding L. An Accurate Matching Method for Projecting Vector Data into Surveillance Video to Monitor and Protect Cultivated Land. ISPRS International Journal of Geo-Information. 2020; 9(7):448. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070448

Chicago/Turabian Style

Shao, Zhenfeng; Li, Congmin; Li, Deren; Altan, Orhan; Zhang, Lei; Ding, Lin. 2020. "An Accurate Matching Method for Projecting Vector Data into Surveillance Video to Monitor and Protect Cultivated Land" ISPRS Int. J. Geo-Inf. 9, no. 7: 448. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070448

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