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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM25610
Volume:
7 |
9 |
Sep 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper presents a novel method for detecting changes in the environment by superimposing GPX traces onto historical and recent satellite images. OpenCV and Rasterio libraries are utilized to align and compare the images, revealing differences between the two time periods. The approach of this paper offers valuable insights for applications such as urban planning and environmental monitoring. The method’s effectiveness is demonstrated through experiments, affirming its potential for accurate change detection and analysis.
KEYWORDS
Publication Date
9/8/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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