It is necessary to adequately extract scattering characteristics from polarimetric synthetic
aperture radar (PolSAR) data for land-cover classification. Current interpretation …

Highly variable polarimetric signatures caused by complex structures in built-up areas make
interpretation of these scattering behaviors intractable for polarimetric synthetic aperture …

Single-and dual-polarimetric synthetic aperture radar (SAR) images provide very limited
capabilities to interpret physical radar signatures. For generality and simplicity, we call …

Simple linear iterative clustering (SLIC) algorithm was proposed for superpixel generation
on optical images and showed promising performance. Several studies have been …

Urban planning has, in recent years, been significantly assisted by remote sensing data. The
data and techniques that are used are very diverse and are available to government …

In previous studies, parameters derived from polarimetric target decompositions have
proven as very effective features for crop classification with single/multi-temporal …

Polarimetric synthetic aperture radar (PolSAR) has unique advantages in building extraction
due to its sensitivity to building structures and all-time/all-weather imaging capabilities …

Polarimetric decomposition of oriented buildings is challenging due to their variable
orientation angles and structures. Both vegetated and oriented built-up areas generate the …

Built-up area extraction from polarimetric SAR (PolSAR) imagery has a close relationship
with urban planning, disaster management, etc. Since the buildings have complex …

Urban area extraction using polarimetric synthetic aperture radar (PolSAR) data has
become a potential mean to urban studies because it holds the promise that the radar …