Pricise target geolocation based on integeration of thermal video imagery and RTK GPS in UAVs

H.R. Hosseinpoor, F. Samadzadegan, F. DadrasJavan

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

Abstract

here are an increasingly large number of uses for Unmanned Aerial Vehicles (UAVs) from surveillance, mapping and target geolocation. However, most of commercial UAVs are equipped with low-cost navigation sensors such as C/A code GPS and a low-cost IMU on board, allowing a positioning accuracy of 5 to 10 meters. This low accuracy which implicates that it cannot be used in applications that require high precision data on cm-level. This paper presents a precise process for geolocation of ground targets based on thermal video imagery acquired by small UAV equipped with RTK GPS. The geolocation data is filtered using a linear Kalman filter, which provides a smoothed estimate of target location and target velocity. The accurate geo-locating of targets during image acquisition is conducted via traditional photogrammetric bundle adjustment equations using accurate exterior parameters achieved by on board IMU and RTK GPS sensors and Kalman filtering and interior orientation parameters of thermal camera from pre-flight laboratory calibration process.
Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publicationInternational Conference on Sensors & Models in Remote Sensing & Photogrammetry
EditorsH. Arefi, M. Motagh
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Pages1-6
Number of pages6
VolumeVolume XL-1/W5
DOIs
Publication statusPublished - 11 Dec 2015
Externally publishedYes
EventISPRS International Conference on Sensors and Models in Remote Sensing and Photogrammetry 2015 - Kish Island, Iran, Islamic Republic of
Duration: 23 Nov 201525 Nov 2015

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
PublisherCopernicus
ISSN (Print)1682-1750

Conference

ConferenceISPRS International Conference on Sensors and Models in Remote Sensing and Photogrammetry 2015
CountryIran, Islamic Republic of
CityKish Island
Period23/11/1525/11/15

Keywords

  • ITC-CV

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