Details

Autor(en) / Beteiligte

• Vadrev, Sai Shruti
• Singh, Shashi Kumar

Titel

Comparative analysis of different decomposition techniques using airborne NISAR data in L-Band and S-Band

Ist Teil von

• 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2023, p.1-3

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• This research paper systematically evaluates the performance of three distinct radar decomposition methods-Freeman Durden, Yamaguchi 4 component, and Bhattacharya-across varied land cover types and radar frequency bands. Notably, in forest regions, the Freeman-Durden technique excels in the L-band, aligning with its efficacy in forest characterization, as advocated in the seminal work by Freeman and Durden. Conversely, the Yamaguchi method delivers moderate outcomes in forests and urban areas, revealing limitations in addressing intricate scattering mechanisms. In urban settings, the Bhattacharya and Frery technique emerges as superior, mitigating volume scattering overestimation and enhancing surface and double bounce scattering detection. A pivotal finding arises from L and S-band comparison, underscoring the influence of wavelength on surface scattering. These findings underscore the importance of tailored decomposition methods for precise SAR data utilization in diverse environmental monitoring contexts.