Research on Forest Fire Point Image Recognition of Agricultural and Forestry Satellites Based on the FRJLI Algorithm-Reference-Cited by-同舟云学术

Research on Forest Fire Point Image Recognition of Agricultural and Forestry Satellites Based on the FRJLI Algorithm

Published:2024-05-30 Issue: Volume:19 Page:487-494
ISSN:
Container-title:2024 International Conference on Machine Intelligence and Digital Applications
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Author:

Meng Qingying¹^ORCID,Cui Jinxiang²^ORCID,Zou Jiahe¹^ORCID,Li Jingyang¹^ORCID,Liu Xin¹^ORCID,Zhu Baoguo³^ORCID,Qiu Lei³^ORCID,Yang Xiaohe³^ORCID,Cai Lijun³^ORCID,Gao Xuedong³^ORCID,Ma Rui³^ORCID,Huang Chengliang¹^ORCID,Wang Qiuju¹^ORCID

Affiliation:

1. Academy of Agricultural Sciences of Heilongjiang, China and Heilongjiang Academy of Agricultural Sciences Postdoctoral Programme, China

2. Heilongjiang Institute of Construction Technology, China

3. Jiamusi Branch, Academy of Agricultural Sciences of Heilongjiang, China

Funder

the National Key Research and Development Program of China

Science Research Foundation of Heilongjiang Province

Heilongjiang Postdoctoral Foundation Program in 2022

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3662739.3672173

Reference19 articles.

1. Optimization of forestry, infrastructure and fire management;Lohmander P;Caspian Journal of Environmental Sciences,2021

2. Satellite remote sensing of active fires: History and current status, applications and future requirements

3. spatial and temporal calibration based on continuous-time trajectory estimation;Li S;IEEE Transactions on Industrial Electronics,2023

4. Limited sensor-based bridge condition assessment using vehicle-induced nonstationary measurements

5. Characterization of Background Temperature Dynamics of a Multitemporal Satellite Scene through Data Assimilation for Wildfire Detection