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Automatic geolocation of targets tracked by aerial imaging platforms using satellite imagery

Authors :
P. K. Shukla
S. Goel
P. Singh
B. Lohani
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1, Pp 381-388 (2014)
Publication Year :
2014
Publisher :
Copernicus Publications, 2014.

Abstract

Tracking of targets from aerial platforms is an important activity in several applications, especially surveillance. Knowled ge of geolocation of these targets adds additional significant and useful information to the application. This paper determines the geolocation of a target being tracked from an aerial platform using the technique of image registration. Current approaches utilize a POS to determine the location of the aerial platform and then use the same for geolocation of the targets using the principle of photogrammetry. The constraints of cost and low-payload restrict the applicability of this approach using UAV platforms. This paper proposes a methodology for determining the geolocation of a target tracked from an aerial platform in a partially GPS devoid environment. The method utilises automatic feature based registration technique of a georeferenced satellite image with an ae rial image which is already stored in UAV's database to retrieve the geolocation of the target. Since it is easier to register subsequent aerial images due to similar viewing parameters, the subsequent overlapping images are registered together sequentially thus resulting in the registration of each of the images with georeferenced satellite image thus leading to geolocation of the target under interest. Using the proposed approach, the target can be tracked in all the frames in which it is visible. The proposed concept is verified experimentally and the results are found satisfactory. Using the proposed method, a user can obtain location of target of interest as well features on ground without requiring any POS on-board the aerial platform. The proposed approach has applications in surveillance for target tracking, target geolocation as well as in disaster management projects like search and rescue operations.

Details

Language :
English
ISSN :
16821750 and 21949034
Volume :
XL-1
Database :
Directory of Open Access Journals
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.192c5609a5454f2a952ed89a08c37e0d
Document Type :
article
Full Text :
https://doi.org/10.5194/isprsarchives-XL-1-381-2014