Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

The accurate classification of wetland vegetation is essential for rapid assessment and management. The Honghe National Nature Reserve (HNNR), located in Northeast China, was studied. The multi-scale remote sensing data of a new generation of Chinese high-spatial-resolution earth observation satelli...

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Bibliographic Details
Main Authors: Fan, D. (Author), Fu, B. (Author), He, H. (Author), Lan, F. (Author), Li, Y. (Author), Liu, M. (Author), Lou, P. (Author), Xie, S. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
accuracy assessment
algorithm
artificial intelligence
assessment method
China
Classification (of information)
Classification accuracy
comparative study
Deep learning
Deeplabv3 plus
DeepLabV3 Plus
Heilongjiang
Honghe Nature Reserve
Image classification
Image enhancement
Image resolution
Intelligent classification
Learning algorithms
machine learning
marsh
Marsh vegetation
Observatories
protected area
Remote sensing
Remote sensing data
satellite data
satellite imagery
Satellite images
Satellites
Sentinel
spatial resolution
Spatial resolution
Spectral band
Spectral range
Vegetation
Vegetation classification
Wetlands
ZiYuan
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