Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data
Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
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 derived from the bistatic interferometric coherence,...
Alternative Titles
Full title
Deep Learning for Mapping Tropical Forests with TanDEM-X Bistatic InSAR Data
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9df94c1f58644d67b553dc0a4b0bd30f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9df94c1f58644d67b553dc0a4b0bd30f
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14163981
