| Band to Band Registration of Multi-Spectral Arial Imagery - Relief Displacement and Miss-Registration Error |
| Paper ID : 1129-SMPR |
| Authors: |
|
Mohammad Hassanpour1, Farzaneh Dadras Javan *2, Ali Azizi3 1Tehran University 2Department of Surveying and Geomatics Engineering, University College of Engineering, University of Tehran, Tehran, Iran 3School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran |
| Abstract: |
| With the development of UAVs in agricultural applications, multi-spectral cameras are designed to be installed on these platforms in small size and weight to help users for these applications. These cameras are composed of multi lenses for each spectral band. Consequently, band miss-registration of low altitude multispectral images acquired via UAVs is challenging due to multi view image sensors and optics structure of the multispectral cameras. In this study, an image based registration method is proposed to reduce the effect of relief displacement on miss-registration error. For this purpose, three different data sets with different level of relief displacement are considered and three different strategies are proposed. In the proposed method, by dividing the image into patches, selecting the appropriate local window, and local matching in each window, an attempt has been made to obtain the proper distribution of points in the image. Also, by limiting the search space, the matching speed is also increased. To evaluate the proposed method, the comparison with the ENVI and ArcGIS software has been made where results clearly presents the superiority of the proposed method by average 0.28 pixel in accuracy. |
| Keywords: |
| Band to Band Registration, Multi-Spectral Imagery, Relief Displacement, Miss-registration Error, Aerial Imagery |
| Status : Conditional Accept (Oral Presentation) |
