Deep Encoder–Decoder Network-Based Wildfire Segmentation Using Drone Images in Real-Time

Wildfire is a hazardous natural phenomenon that leads to significant human fatalities, catastrophic environmental damages, and economic losses. Over the past few years, the intensity and frequency of fires have increased worldwide. Studies have been conducted to develop distinctive solutions to mini...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 14; no. 24; p. 6302
Main Authors:	Muksimova, Shakhnoza, Mardieva, Sevara, Cho, Young-Im
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2022
Subjects:	Accuracy cameras Coders Data collection Datasets Deep learning drone Drones Economic impact encoder–decoder Environmental degradation False alarms Fire alarms fire detection Fire fighting Forest & brush fires forest fire and smoke segmentation Forest fire detection Forest fires forests humans Image processing Image segmentation Methods Neural networks Real time Remote sensing Remote sensing systems Robustness Semantics Sensors Smoke Unmanned aerial vehicles Wildfires United States > US
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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