温排水自动提取方法研究

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Abstract To solve the problems of low automation and poor timeliness of existing algorithms for remote sensing thermal discharge detection, this study proposes an automated extraction method for thermal discharge based on the single-temporal thermal infrared band, called IForest-SVM. The Fuqing Nuclear Power Plant in Fujian Province was taken as an example to test and verify the proposed method using four Landsat-8 remote sensing images from October 2018 to January 2019. IForest-SVM first uses isolation forest to automatically extract samples of thermal discharge and normal water bodies, then purifies the thermal discharge samples by their spatial adjacency relationship with discharge outlets. After that, a support vector machine is used to extract thermal discharge pixels, and misclassified pixels are removed based on their spatial adjacency relationship with discharge outlets to obtain the final spatial distribution of thermal discharge. The test results show that the average values of user accuracy and producer accuracy of thermal discharge detected by the proposed method on three images on November 15, 2018, December 1, 2018, and January 18, 2019 were 89.69%, 94.97%, and 90.04%, respectively. No false alarms occurred on the image without thermal discharge on October 30, 2018, effectively avoiding false detections. IForest-SVM only requires input of the thermal infrared band of remote sensing images without additional parameters, and has the advantages of good portability, strong applicability, and high automation. It has a good application potential in the real-time monitoring and rapid detection of thermal discharge.

Key words： isolation forest anomaly detection support vector machine adjacency relationship thermal discharge

Received: 21 March 2023

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	ZHU Xiu-fang
	LI Yuan

Cite this article:

ZHU Xiu-fang,LI Yuan. Research on automatic extraction method of thermal discharge[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(11): 6115-6122.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I11/6115

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