Multi-resolution Satellite Imagery Rectification using Bi-linear Interpolation Method for Quantitative Analysis

Abstract

Rectification process is necessary so as to orient a satellite imagery to a planar surface and make its geometry planimetric. It establishes the image in the correct spatial location and orientation for subsequent quantitative analysis. This paper introduces the rectification of a true color Satellite imagery that was synthesized out of a Quick Bird high resolution Satellite imagery data for quantitative analysis. However an overview of the geometric correction process was also highlighted. Reference system is an important factor in order to verify and identify all measurements and data collection processes from Satellite imageries. The quality of the outputs depends on how good and refined the reference system is defined. The technique uses Global Positioning System (GPS) positioning information, geo-reference and other parameters, such as interpolation method to automatically register and ortho rectify the raw imagery data. Through the process, a seamless imagery is produced. Through semi-automatic and manual editing, a standard satellite-map imagery that satisfies geometric extraction needs was produced which would subsequently be used to determine quantitatively, geometric cadastral boundaries, hence, analyzing the imagery data. The result of the satisfactory imagery rectification shows that the total root mean square (RMS) error is 0.6152 meter, for X is 0.4119 meter and for Y is 0.4570 meter.