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Forest Aboveground Biomass Estimation Using Multisource Remote Sensing Data and Deep Learning Algorithms: A Case Study over Hangzhou Area in China.
Xin Tian
Jiejie Li
Fanyi Zhang
Haibo Zhang
Mi Jiang
Published in:
Remote. Sens. (2024)
Keyphrases
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remote sensing data
multi source
learning algorithm
remote sensing
multispectral
deep architectures
single source
data fusion
remote sensing images
information fusion
multiple sources
active learning
machine learning
case study
unsupervised learning
land cover
remotely sensed data
hyperspectral
data sources
image analysis
estimation algorithm
pattern recognition
hyperspectral images
training data
supervised learning
information integration
data sets