Georeferencing Digital Camera Images Using Internal Camera Model
The NASA Airborne Topographic Mapper (ATM) is a laser scanning instrument which is used mainly to collect dense topographic data over much of the conterminous US coastline. The inclusion of two digital cameras in consonance with the ATM instrument now gives 3-band (RGB) imagery apart from a very ric...
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ftunisfloridatam:oai:digitalcommons.usf.edu:etd-2173 2023-06-11T04:03:06+02:00 Georeferencing Digital Camera Images Using Internal Camera Model Nagdev, Alok 2004-04-02T08:00:00Z application/pdf https://digitalcommons.usf.edu/etd/1174 https://digitalcommons.usf.edu/context/etd/article/2173/viewcontent/SFE0000343.pdf unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/etd/1174 https://digitalcommons.usf.edu/context/etd/article/2173/viewcontent/SFE0000343.pdf default USF Tampa Graduate Theses and Dissertations image correlation attitude image projection camera calibration least squared estimation American Studies Arts and Humanities thesis 2004 ftunisfloridatam 2023-05-04T17:59:51Z The NASA Airborne Topographic Mapper (ATM) is a laser scanning instrument which is used mainly to collect dense topographic data over much of the conterminous US coastline. The inclusion of two digital cameras in consonance with the ATM instrument now gives 3-band (RGB) imagery apart from a very rich topographic data. This imagery, in its crude form, has limited applications due to it being not georeferenced and having a heavy camera lens distortions. As thesis, a processing system - Park-View - is developed to bring this imagery into a more suitable format for the scientists for analytical and interpretational purposes. Park-View utilizes the well gridded elevation data from layer four of another processing system called LaserMap for georeferencing the digital camera images. Camera lens behavior is modeled using a 2D grid image and all of its intrinsic parameters ascertained. These parameters are then incorporated into correcting the lens distortions of georeferenced images. Errors in time-stamping of images and in the mounting angles of the camera are calculated using well known tie-points. Georeferenced images can be stored either in GeoTiff format or jpeg format. Individual images can be georeferenced or put in a mosaic form with the mosaic color equalized for adjoining images. Park-View also provides the main GUI displaying the entire surveyed area, mapper GUI for a batch processing of all the images and a display window for displaying georeferenced images or mosaics. Additional capabilities could be added to the processing system for performing some specific image processing operations on the images such as edge detection and image enhancement. Thesis Airborne Topographic Mapper Digital Commons University of South Florida (USF) |
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Digital Commons University of South Florida (USF) |
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ftunisfloridatam |
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unknown |
topic |
image correlation attitude image projection camera calibration least squared estimation American Studies Arts and Humanities |
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image correlation attitude image projection camera calibration least squared estimation American Studies Arts and Humanities Nagdev, Alok Georeferencing Digital Camera Images Using Internal Camera Model |
topic_facet |
image correlation attitude image projection camera calibration least squared estimation American Studies Arts and Humanities |
description |
The NASA Airborne Topographic Mapper (ATM) is a laser scanning instrument which is used mainly to collect dense topographic data over much of the conterminous US coastline. The inclusion of two digital cameras in consonance with the ATM instrument now gives 3-band (RGB) imagery apart from a very rich topographic data. This imagery, in its crude form, has limited applications due to it being not georeferenced and having a heavy camera lens distortions. As thesis, a processing system - Park-View - is developed to bring this imagery into a more suitable format for the scientists for analytical and interpretational purposes. Park-View utilizes the well gridded elevation data from layer four of another processing system called LaserMap for georeferencing the digital camera images. Camera lens behavior is modeled using a 2D grid image and all of its intrinsic parameters ascertained. These parameters are then incorporated into correcting the lens distortions of georeferenced images. Errors in time-stamping of images and in the mounting angles of the camera are calculated using well known tie-points. Georeferenced images can be stored either in GeoTiff format or jpeg format. Individual images can be georeferenced or put in a mosaic form with the mosaic color equalized for adjoining images. Park-View also provides the main GUI displaying the entire surveyed area, mapper GUI for a batch processing of all the images and a display window for displaying georeferenced images or mosaics. Additional capabilities could be added to the processing system for performing some specific image processing operations on the images such as edge detection and image enhancement. |
format |
Thesis |
author |
Nagdev, Alok |
author_facet |
Nagdev, Alok |
author_sort |
Nagdev, Alok |
title |
Georeferencing Digital Camera Images Using Internal Camera Model |
title_short |
Georeferencing Digital Camera Images Using Internal Camera Model |
title_full |
Georeferencing Digital Camera Images Using Internal Camera Model |
title_fullStr |
Georeferencing Digital Camera Images Using Internal Camera Model |
title_full_unstemmed |
Georeferencing Digital Camera Images Using Internal Camera Model |
title_sort |
georeferencing digital camera images using internal camera model |
publisher |
Digital Commons @ University of South Florida |
publishDate |
2004 |
url |
https://digitalcommons.usf.edu/etd/1174 https://digitalcommons.usf.edu/context/etd/article/2173/viewcontent/SFE0000343.pdf |
genre |
Airborne Topographic Mapper |
genre_facet |
Airborne Topographic Mapper |
op_source |
USF Tampa Graduate Theses and Dissertations |
op_relation |
https://digitalcommons.usf.edu/etd/1174 https://digitalcommons.usf.edu/context/etd/article/2173/viewcontent/SFE0000343.pdf |
op_rights |
default |
_version_ |
1768377049377931264 |