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...
Main Authors: | Shakhnoza Muksimova, Sevara Mardieva, Young-Im Cho |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/24/6302 |
Similar Items
-
EffResUNet: Encoder Decoder Architecture for Cloud-Type Segmentation
by: Sunveg Nalwar, et al.
Published: (2022-12-01) -
Revolutionizing Wildfire Detection Through UAV-Driven Fire Monitoring with a Transformer-Based Approach
by: Shakhnoza Muksimova, et al.
Published: (2024-11-01) -
Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks
by: Muksimova Shakhnoza, et al.
Published: (2021-12-01) -
Prostate Segmentation in MRI Using Transformer Encoder and Decoder Framework
by: Chengjuan Ren, et al.
Published: (2023-01-01) -
Design of encoder and decoder using reversible logic gates
by: C. Kalamani, et al.
Published: (2024-02-01)