Using Generative Models to Improve Fire Detection Efficiency
Author:
Affiliation:
1. Data Analysis and Machine Learning Department Financial University under the Government of the Russian Federation,Moscow,Russia
2. Data Science Department Huazhong University of Science and Technology,Huazhong,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10582295/10582284/10582386.pdf?arnumber=10582386
Reference16 articles.
1. Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping
2. Experience in detection and monitoring of forest fires using space images;Firsov;Forests of Russia and management,2019
3. Application of mixed models of random fields for the segmentation of satellite images
4. An automatic method for subpixel registration of KMSS-M imagery based on coarse-resolution actualized reference
5. Adaptive algorithms for detecting anomalies on a sequence of multidimensional images;Vasiliev;Computer Optics,1995
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