Potential of P-Band SAR Tomography in Forest Type Classification

Potential of P-Band SAR Tomography in Forest Type Classification

Forest type classification using spaceborne remote sensing is a challenge. Low-frequency Synthetic Aperture Radar (SAR) signals (i.e., P-band, ∼0.69 m wavelength) are needed to penetrate a thick vegetation layer. However, this measurement alone does not guarantee a good performance in forest classif...

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Bibliographic Details
Main Authors: Dinh Ho Tong Ho Tong Minh, Yen-Nhi Ngo, Thu Trang Lê
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
P-band
TomoSAR
BIOMASS
forest types
classification
AfriSAR
Online Access:https://www.mdpi.com/2072-4292/13/4/696

Internet

https://www.mdpi.com/2072-4292/13/4/696

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