Design and test of a multi-camera based orthorectified airborne imaging system

Airborne imaging platforms have been applied to such diverse areas as surveillance, natural disaster monitoring, cartography and environmental research. However, airborne imaging data can be expensive, out of date, or difficult to interpret. This work introduces an Orthorectified Airborne Imaging (O...

Full description

Bibliographic Details
Main Author: Becklinger, Nicole Lynn
Other Authors: Schnell, Thomas
Format: Others
Language:English
Published: University of Iowa 2010
Subjects:
KML
Online Access:https://ir.uiowa.edu/etd/461
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1646&context=etd
id ndltd-uiowa.edu-oai-ir.uiowa.edu-etd-1646
record_format oai_dc
spelling ndltd-uiowa.edu-oai-ir.uiowa.edu-etd-16462019-10-13T04:28:59Z Design and test of a multi-camera based orthorectified airborne imaging system Becklinger, Nicole Lynn Airborne imaging platforms have been applied to such diverse areas as surveillance, natural disaster monitoring, cartography and environmental research. However, airborne imaging data can be expensive, out of date, or difficult to interpret. This work introduces an Orthorectified Airborne Imaging (OAI) system designed to provide near real time images in Google Earth. The OAI system consists of a six camera airborne image collection system and a ground based image processing system. Images and position data are transmitted from the air to the ground station using a point to point (PTP) data link antenna connection. Upon reaching the ground station, image processing software combines the six individual images into a larger stitched image. Stitched images are processed to remove distortions and then rotated so that north is pointed up (orthorectified). Because the OAI images are very large, they must be broken down into a series of progressively higher resolution tiles called an image pyramid before being loaded into Google Earth. A KML programming technique called a super overlay is used to load the image pyramid into Google Earth. A program and Graphical User Interface created in C# create the KML super overlay files according to user specifications. Image resolution and the location of the area being imaged relitive to the aircraft are functions of altitude and the position of the imaging cameras. Placement of OAI images in Google Earth allows the user to take advantage of the place markers, street names, and navigation features native to the Google Earth environment. 2010-05-01T07:00:00Z thesis application/pdf https://ir.uiowa.edu/etd/461 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1646&context=etd Copyright 2010 Nicole Lynn Becklinger Theses and Dissertations eng University of IowaSchnell, Thomas Airborne Google Earth Image KML User Interface Industrial Engineering
collection NDLTD
language English
format Others
sources NDLTD
topic Airborne
Google Earth
Image
KML
User Interface
Industrial Engineering
spellingShingle Airborne
Google Earth
Image
KML
User Interface
Industrial Engineering
Becklinger, Nicole Lynn
Design and test of a multi-camera based orthorectified airborne imaging system
description Airborne imaging platforms have been applied to such diverse areas as surveillance, natural disaster monitoring, cartography and environmental research. However, airborne imaging data can be expensive, out of date, or difficult to interpret. This work introduces an Orthorectified Airborne Imaging (OAI) system designed to provide near real time images in Google Earth. The OAI system consists of a six camera airborne image collection system and a ground based image processing system. Images and position data are transmitted from the air to the ground station using a point to point (PTP) data link antenna connection. Upon reaching the ground station, image processing software combines the six individual images into a larger stitched image. Stitched images are processed to remove distortions and then rotated so that north is pointed up (orthorectified). Because the OAI images are very large, they must be broken down into a series of progressively higher resolution tiles called an image pyramid before being loaded into Google Earth. A KML programming technique called a super overlay is used to load the image pyramid into Google Earth. A program and Graphical User Interface created in C# create the KML super overlay files according to user specifications. Image resolution and the location of the area being imaged relitive to the aircraft are functions of altitude and the position of the imaging cameras. Placement of OAI images in Google Earth allows the user to take advantage of the place markers, street names, and navigation features native to the Google Earth environment.
author2 Schnell, Thomas
author_facet Schnell, Thomas
Becklinger, Nicole Lynn
author Becklinger, Nicole Lynn
author_sort Becklinger, Nicole Lynn
title Design and test of a multi-camera based orthorectified airborne imaging system
title_short Design and test of a multi-camera based orthorectified airborne imaging system
title_full Design and test of a multi-camera based orthorectified airborne imaging system
title_fullStr Design and test of a multi-camera based orthorectified airborne imaging system
title_full_unstemmed Design and test of a multi-camera based orthorectified airborne imaging system
title_sort design and test of a multi-camera based orthorectified airborne imaging system
publisher University of Iowa
publishDate 2010
url https://ir.uiowa.edu/etd/461
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1646&context=etd
work_keys_str_mv AT becklingernicolelynn designandtestofamulticamerabasedorthorectifiedairborneimagingsystem
_version_ 1719264241413783552