A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery-Reference-Cited by-同舟云学术

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A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery

Published:2024-11 Issue: Volume:36 Page:101283
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Liu Jixue^ORCID,Li Jiuyong^ORCID,Peters Stefan^ORCID,Zhao Liang

Publisher

Elsevier BV

Reference55 articles.

1. Satellite smoke scene detection using convolutional neural network with spatial and channel-wise attention;Ba;Rem. Sens.,2019

2. A grouped threshold approach for scene identification in AVHRR imagery;Baum;J. Atmos. Ocean. Technol.,1999

3. A machine learning approach to objective identification of dust in satellite imagery;Berndt;Earth Space Sci.,2021

4. Multimodal wildland fire smoke detection;Bhamra;Rem. Sens.,2023

5. A survey on vision-based outdoor smoke detection techniques for environmental safety;Chaturvedi;ISPRS J. Photogrammetry Remote Sens.,2022

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