Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning

2021 Digital Image Computing: Techniques and Applications (DICTA)(2021)

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摘要
Massive wildfires not only in Australia, but also worldwide are burning millions of hectares of forests and green land affecting the social, ecological, and economical situation. Widely used indices-based threshold methods like Normalized Burned Ratio (NBR) require a huge amount of data preprocessing and are specific to the data capturing source. State-of-the-art deep learning models, on the other...
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关键词
Deep learning,Training,Adaptation models,Biological system modeling,Fires,Forestry,Computer architecture
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