Novel Image Mosaicking of UAV’s Imagery using Collinearity Condition

Tjahjadi1, Martinus Edwin and Handoko, Fourry and Sai, Silvester Sari (2017) Novel Image Mosaicking of UAV’s Imagery using Collinearity Condition. International Journal of Electrical and Computer Engineering (IJECE), 7 (3). pp. 1188-1196.

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This paper presents a preliminary result of ongoing research on unmanned aerial vehicle (UAV) for cooperative mapping to support a large-scale urban city mapping, in Malang, Indonesia. A small UAV can carry an embedded camera which can continuously take pictures of landscapes. A convenient way of monitoring landscape changes might be through accessing a sequence of images. However, since the camera‟s field of view is always smaller than human eye‟s field of view, the need to combine aerial pictures into a single mosaic is eminent. Through mosaics, a more complete view of the scene can be accessed and analyzed. A semi-automated generation of mosaics is investigated using a photogrammetric approach, namely a perspective projection which is based on collinearity condition. This paper reviews the general projection model based on collinearity condition and uses that to determine a common projective plane from images. The overlapped points for each RGB channel are interpolated onto that of orthographic plane to generate mosaics. An initial attempt shows a promising result.

Item Type: Article
Uncontrolled Keywords: Collinearity condition Computer algorithm Image mosaicking Image processing UAV
Subjects: Engineering > Geodesy Engineering
Divisions: Fakultas teknik Sipil dan Perencanaan > Teknik Geodesi S1
Depositing User: Susi Rahmania
Date Deposited: 26 Mar 2019 01:38
Last Modified: 26 Mar 2019 01:38

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