Superresolution of Remote Sensing Data using Data Fusion Technique

2015 Fiscal Year Final Research Report

• Project/Area Number: 24360347
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Aerospace engineering
• Research Institution: The University of Tokyo
• Principal Investigator: Iwasaki Akira 東京大学, 先端科学技術研究センター, 教授 (40356530)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Keywords: ハイパースペクトル / マルチスペクトル / 情報融合 / 航空機実験

Outline of Final Research Achievements

Hyperspectral data has more than one hundred spectral bands and can discriminates ground targets precisely; however, the spatial resolution is limited due to low signal power. This work is intended to fuse hyperspectral data with multispectral data that has higher spatial resolution. To demonstrate the validity of the proposed methodology, the real data is obtained by both hyperspectral and multispectral sensors that are on board an airplane. The validity of the algorithm that fuses two sensor data is examined to express the spectral characteristics of ground targets with higher spatial resolution. The application to different satellite sensors is also indicated. The methodology is extended to ground targets with nonlinear reflectance properties.

Free Research Field

リモートセンシング