Please use this identifier to cite or link to this item:
Automatic Extraction of Terrain Features from Digital Terrain Data: A Multi-Faceted Study
|uhm phd 9416061 uh.pdf||Version for UH users||4.39 MB||Adobe PDF||View/Open|
|uhm phd 9416061 r.pdf||Version for non-UH users. Copying/Printing is not permitted||4.44 MB||Adobe PDF||View/Open|
|Title:||Automatic Extraction of Terrain Features from Digital Terrain Data: A Multi-Faceted Study|
|Contributors:||Wingert, Everett A. (advisor)|
Geography and Environment (department)
|Keywords:||digital terrain data|
digital terrain models
show 5 moreterrain features
|Date Issued:||Dec 1993|
|Publisher:||[Honolulu] : [University of Hawaii at Manoa], [December 1993]|
|Abstract:||Ridge and valley lines are important terrain features to many scientific endeavors and practical applications. They are extracted manually from topographic maps traditionally. Besides being tedious, the manual process involves much arbitrariness by human interpreters and the results are not repeatable nor consistent. The lack of repeatability and consistence undermines the usefulness of the extracted results. The increasing availability of digital terrain data provides an alternative that may remedy the shortcomings of manual extraction.|
The automatic delineation of terrain features is a multi-faceted task that is relevant to cognitive issues, terrain modeling, and computer implementation. This research has identified four groups of methods for the extraction of ridge and valley lines. They are: symbolic approach, tracing approach, profiling approach, and hydrological approach. The embedded meaning of ridge and valley lines in each of these methods is investigated. A series of tests are conducted inside computers to evaluate the performance of these methods. A primary investigation on the symbolic method concludes that the difficulty pertaining to the generation of TINs undermines the feasibility of the symbolic approach, thus it is not pursued further. The other three groups of methods have been tested and compared on the basis of the numbers, continuity, agreement, and positional accuracy of the extracted features. It is concluded that the hydrological approach performs the best generally.
The hydrological approach, instead of emulating manual interpretation in computers, takes an innovative approach that makes good use of the computational power of modem computers. By defining ridge and valley lines with accumulation values, this method is less sensitive to local terrain variations and extracts a rather continuous and complete result. In contrast, the tracing and profiling methods attempt to emulate manual process in extraction and the outcomes turn out to be not satisfactory. The various performances of the three methods present a notion that direct replication of human knowledge into computers is not necessarily feasible in the development of automatic methods. Several topics for future research are identified and subject to further study.
|Description:||PhD University of Hawaii at Manoa 1993|
Includes bibliographical references (leaves 161–164).
|Pages/Duration:||xiii, 164 leaves, bound ; 29 cm|
|Rights:||All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.|
|Appears in Collections:||
Ph.D. - Geography|
Please email firstname.lastname@example.org if you need this content in ADA-compliant format.
Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.