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초록
The availability of high-resolution satellite image time series data has led to an increase in change detection research. Various methods are being studied, such as satellite image pixel and objectlevel change detection algorithms, as well as algorithms that apply deep learning technology. In this paper, we propose a QGIS plugin-based system to enhance the utilization of these useful results and present an actual implementation case. The proposed system is a system for intensive change detection and monitoring of areas of interest, and we propose a convenient system expansion method for algorithms to be developed in the future. Furthermore, it is expected to contribute to the construction of satellite image utilization systems by presenting the basic structure of commercialization of change detection research.
키워드
- 제목
- A Study on Building a Scalable Change Detection System Based on QGIS with High-Resolution Satellite Imagery
- 저자
- Kim, Byoung Gil; Ahn, Chang Jin; Ha, Gayeon
- 발행일
- 2023-12
- 유형
- Article
- 저널명
- 대한원격탐사학회지
- 권
- 39
- 호
- 6
- 페이지
- 1763 ~ 1770
- 언어
- ENG
- 출판사
- KOREAN SOC REMOTE SENSING
- 발행국가
- 대한민국
- 분량
- 8 페이지
- ISSN
- E 2287-9307
P 1225-6161