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Terrain Aware Image Clipping for Real-Time Aerial Mapping

Hein, Daniel and Berger, Ralf (2018) Terrain Aware Image Clipping for Real-Time Aerial Mapping. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV (1), pp. 61-68. Copernicus Publications. ISPRS TC I Midtermn Symposium - Innovative Sensing - From Sensors to Methods and Applications, 9. Okt. - 12. Okt. 2018, Karlsruhe, Deutschland. DOI: 10.5194/isprs-annals-IV-1-61-2018, 2018 ISSN 2194-9042

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Official URL: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/

Abstract

Many remote sensing applications demand for a fast and efficient way of generating orthophoto maps from raw aerial images. One prerequisite is direct georeferencing, which allows to geolocate aerial images to their geographic position on the earth’s surface. But this is only half the story. When dealing with a large quantity of highly overlapping images, a major challenge is to select the most suitable image parts in order to generate seamless aerial maps of the captured area. This paper proposes a method that quickly determines such an optimal (rectangular) section for each single aerial image, which in turn can be used for generating seamless aerial maps. Its key approach is to clip aerial images depending on their geometric intersections with a terrain elevation model of the captured area, which is why we call it terrain aware image clipping (TAC). The method has a modest computational footprint and is therefore applicable even for rather limited embedded vision systems. It can be applied for both, real-time aerial mapping applications using data links as well as for rapid map generation right after landing without any postprocessing step. Referring to real-time applications, this method also minimizes transmission of redundant image data. The proposed method has already been demonstrated in several search-and-rescue scenarios and real-time mapping applications using a broadband data link and diffent kinds of camera and carrier systems. Moreover, a patent for this technology is pending.

Item URL in elib:https://elib.dlr.de/122068/
Document Type:Conference or Workshop Item (Speech)
Title:Terrain Aware Image Clipping for Real-Time Aerial Mapping
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hein, Danieldaniel.hein (at) dlr.dehttps://orcid.org/0000-0001-9186-4178
Berger, Ralfralf.berger (at) dlr.dehttps://orcid.org/0000-0002-1314-5554
Date:October 2018
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:IV
DOI :10.5194/isprs-annals-IV-1-61-2018, 2018
Page Range:pp. 61-68
Editors:
EditorsEmail
Jutzi, Borisboris.jutzi@kit.edu
Weinmann, Martinmartin.weinmann@kit.edu
Hinz, Stefanstefan.hinz@kit.edu
Publisher:Copernicus Publications
Series Name:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN:2194-9042
Status:Published
Keywords:Image Mosaicing, Rapid Mapping, Aerial Imaging, Real-Time Situation Picture, Direct Georeferencing, Orthophoto Mapping
Event Title:ISPRS TC I Midtermn Symposium - Innovative Sensing - From Sensors to Methods and Applications
Event Location:Karlsruhe, Deutschland
Event Type:international Conference
Event Dates:9. Okt. - 12. Okt. 2018
Organizer:ISPRS - International Society for Photogrammetry and Remote Sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Optische Fernerkundung für sicherheitsrelevante Anwendungen
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Security Research and Applications
Deposited By: Hein, Daniel
Deposited On:09 Oct 2018 08:38
Last Modified:31 Jul 2019 20:20

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