Early detection of forest fires is helpful for monitoring the high rate of fire spread, instantaneous fire radiative energy, smoldering ratio, and consequences ...
Jun 5, 2024 · This paper presents a spatio-temporal model (STM) based forest fire detection method that uses multiple images of the inspected scene. In STM, ...
A comparison of detection results demonstrate that the proposed algorithm described in this paper are useful to represent the spatio-temporal information ...
The integration of spatial contextual information and temporal information makes it a more robust model for anomaly detection. The proposed algorithm was ...
Fire detection based on multi-temporal remote sensing data is an active research field. However, multi-temporal detection processes are usually complicated ...
A Spatio-Temporal Model for Forest Fire Detection Using HJ-IRS Satellite Data. ... The proposed algorithm was applied to a forest fire in 2009 in the Yinanhe ...
Dec 8, 2018 · This paper fills this gap by presenting a spatiotemporal contextual model (STCM) that fully exploits geostationary data's spatial and temporal dimensions.
A spatiotemporal contextual model (STCM) that fully exploits geostationary data's spatial and temporal dimensions based on the data from Himawari-8 ...
This paper would fill the gap by presenting spatio-temporal contextual model (STCM) that fully exploits geostationary data's spatial and temporal dimension ...
Missing: HJ- IRS
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Oct 22, 2024 · This paper presents a spatio-temporal model (STM) based forest fire detection method that uses multiple images of the inspected scene. In STM, ...