Novel Techniques for Built-Up Area Extraction From Polarimetric SAR Images

Built-up (BU) area extraction from remote sensing images is important to monitor and manage urbanization and industrialization. In this letter, we propose two BU area extraction techniques based on the analysis of fully polarimetric synthetic aperture radar (PolSAR) data. Both methods exploit the ge...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2020-01, Vol.17 (1), p.177-181
Main Authors: Ratha, Debanshu, Gamba, Paolo, Bhattacharya, Avik, Frery, Alejandro C.
Format: Article
Language:English
Subjects:
Area
Built-up (BU)
C band
geodesic distance (GD)
Indexes
Industrialization
Kennaugh matrix
L-band
mapping
radar BU index (RBUI)
Radar data
Radar imaging
Radar polarimetry
Radarsat
Remote monitoring
Remote sensing
SAR (radar)
Scattering
scattering similarity
Sensors
Synthetic aperture radar
synthetic aperture radar (SAR) polarimetry
urban
Urbanization
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Summary:Built-up (BU) area extraction from remote sensing images is important to monitor and manage urbanization and industrialization. In this letter, we propose two BU area extraction techniques based on the analysis of fully polarimetric synthetic aperture radar (PolSAR) data. Both methods exploit the geodesic distance on the unit sphere in the space of Kennaugh matrices. The first method is based on the three dominant scattering types in the scene and compares them with scattering models; if any of them matches with BU type elementary scattering models, then the pixel is said to belong to a BU area. The second method is based on a novel PolSAR BU index (RBUI) composed by considering scattering mechanisms from BU structures. The two proposed techniques are validated on two different urban scenes, one acquired at C-band by RADARSAT-2 and other at L-band by ALOS-2 SAR sensors.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2019.2914913