Application of automatic identified footprints of vertical structures in a SAR image

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K04420
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 21030:Measurement engineering-related
• Research Institution: National Institute of Information and Communications Technology
• Principal Investigator: Uemoto Jyunpei 国立研究開発法人情報通信研究機構, 電磁波研究所電磁波伝搬研究センター, 主任研究員 (70536177)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: SAR / InSAR / リモートセンシング / フットプリント / 偏波

Outline of Final Research Achievements

This study is applied research for synthetic aperture radar (SAR) image data by utilizing footprints of automatically derived vertical structures such as buildings and trees on SAR images. The first research objective is to improve the geocoding accuracy of SAR images and analysis results. The second one is to clarify the polarimetric characteristics of SAR scattering depending on a building orientation angle with respect to a range direction. During the research period, I developed a novel iterative method to identify the suitable footprints for the ground control points to mitigate the error of height estimation that results in improving the geocoding accuracy. In addition, I found that the polarimetric characteristics at the building footprints differ from those at the building main body.

Free Research Field

計測工学

Academic Significance and Societal Importance of the Research Achievements

マッピング精度はSAR観測画像から抽出された情報と他データを共通地図座標系上で比較する際のキーファクターであるため、ここで達成した成果は、SAR観測データからの情報抽出及びその利活用において今後重要な役割を果たすと期待できる。偏波の立地方位角依存性に関して新たに得た知見については、理論的な解釈がまだできていないため更なる研究が必要であるが、将来的には偏波による対象の自動分類精度向上等への貢献が期待される。