Paper
7 March 2022 Research on building change detection algorithm based on remote sensing image registration
Anning Pan, Jingzong Yang
Author Affiliations +
Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121672G (2022) https://doi.org/10.1117/12.2629210
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China
Abstract
In remote sensing image processing, the rapid monitoring of urban illegal buildings or illegal occupations by remote sensing image change detection is efficient for obtaining urban geographic spatial information. In addition, the change detection has become a hot topic in the field of remote sensing, and has been widely used in various fields such as medicine, military and geographic information. Therefore, it is important to study the change detection algorithm based on remote sensing image registration. During the image acquisition by small unmanned aerial vehicles, due to the influence of the aircraft posture, height, speed and other factors, a series of problems can result in the acquired remote sensing image, such as extrusion, distortion, stretching, offset and overlap with respect to the interest targets. The key steps of change detection are image registration, whose performance can affect the results of change detection. This paper processes the image through the optimization of the low-altitude remote sensing image registration algorithm to obtain specific information of the building distribution. In addition, the paper analyzes the difference information for the low-altitude remote sensing image that has been registered. The experimental test results prove that the method is robust.
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Anning Pan and Jingzong Yang "Research on building change detection algorithm based on remote sensing image registration", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121672G (7 March 2022); https://doi.org/10.1117/12.2629210
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KEYWORDS
Image registration

Remote sensing

Detection and tracking algorithms

Image segmentation

Unmanned aerial vehicles

Image processing

Distortion

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