Abstract

The problem of revealing the appearance and development of thermal anomalies in the images of volcanoes taken at night in the visible and near-infrared ranges is discussed. An algorithm for detecting and classifying such anomalies is proposed and is tested on the data from the archive of the video monitoring of volcanoes on Kamchatka. The results obtained suggest the possible use of the developed solution in the tasks of real-time monitoring of volcanic activity in the Russian Far East.

中文翻译：

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夜间拍摄的火山图像中热异常的检测

摘要

讨论了在可见光和近红外范围内在夜间拍摄的火山图像中揭示热异常的出现和发展的问题。提出了一种检测和分类此类异常的算法，并根据堪察加火山视频监控档案中的数据进行了测试。获得的结果表明，在俄罗斯远东地区实时监测火山活动的任务中，可能会使用该开发的解决方案。