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ISPRS Int. J. Geo-Inf. 2018, 7(2), 42; https://doi.org/10.3390/ijgi7020042

Incrementally Detecting Change Types of Spatial Area Object: A Hierarchical Matching Method Considering Change Process

1,2,3
,
1,2,3
and
1,2,3,*
1
College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
2
3D Information Collection and Application Key Laboratory of Education Ministry, Capital Normal University, Beijing 100048, China
3
Beijing State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China
*
Author to whom correspondence should be addressed.
Received: 2 November 2017 / Revised: 10 January 2018 / Accepted: 28 January 2018 / Published: 30 January 2018
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Abstract

Detecting and extracting the change types of spatial area objects can track area objects’ spatiotemporal change pattern and provide the change backtracking mechanism for incrementally updating spatial datasets. To respond to the problems of high complexity of detection methods, high redundancy rate of detection factors, and the low automation degree during incrementally update process, we take into account the change process of area objects in an integrated way and propose a hierarchical matching method to detect the nine types of changes of area objects, while minimizing the complexity of the algorithm and the redundancy rate of detection factors. We illustrate in details the identification, extraction, and database entry of change types, and how we achieve a close connection and organic coupling of incremental information extraction and object type-of-change detection so as to characterize the whole change process. The experimental results show that this method can successfully detect incremental information about area objects in practical applications, with the overall accuracy reaching above 90%, which is much higher than the existing weighted matching method, making it quite feasible and applicable. It helps establish the corresponding relation between new-version and old-version objects, and facilitate the linked update processing and quality control of spatial data. View Full-Text
Keywords: incremental update; incremental information extraction; type-of-change detection; hierarchical matching operator; hierarchical matching incremental update; incremental information extraction; type-of-change detection; hierarchical matching operator; hierarchical matching
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Wang, Y.; Zhang, Q.; Guan, H. Incrementally Detecting Change Types of Spatial Area Object: A Hierarchical Matching Method Considering Change Process. ISPRS Int. J. Geo-Inf. 2018, 7, 42.

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