Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data

Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data

The TanDEM-X synthetic aperture radar (SAR) system allows for the recording of bistatic interferometric SAR (InSAR) acquisitions, which provide additional information to the common amplitude images acquired by monostatic SAR systems. More concretely, the volume decorrelation factor, which can be der...

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Bibliographic Details
Main Authors:	Jose-Luis Bueso-Bello, Daniel Carcereri, Michele Martone, Carolina González, Philipp Posovszky, Paola Rizzoli
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Series:	Remote Sensing
Subjects:	synthetic aperture radar forest mapping deforestation monitoring deep learning convolutional neural networks TanDEM-X
Online Access:	https://www.mdpi.com/2072-4292/14/16/3981

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