Global2Salient: Self-adaptive feature aggregation for remote sensing smoke detection-Reference-Cited by-同舟云学术

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Global2Salient: Self-adaptive feature aggregation for remote sensing smoke detection

Published:2021-11 Issue: Volume:466 Page:202-220
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chen Shikun,Cao Yichao,Feng Xiaoqiang,Lu Xiaobo

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Jiangsu Provincial Key Research and Development Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference60 articles.

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

2. Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems;Bond;Trends Ecol. Evol.,2005

3. Scientists’ warning on wildfire—a Canadian perspective;Coogan;Can. J. For. Res.,2019

4. A review of machine learning applications in wildfire science and management;Jain;Environmental Reviews,2020

5. Shah A A, Rana K. A Review on Computer Vision-Scene Classification Techniques[C]//2019 Third International Conference on Inventive Systems and Control (ICISC). IEEE, 2019: 558-566.

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