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Pregled bibliografske jedinice broj: 435480

Method for crater detection from Martian digital topography data using gradient value/orientation, morphometry, votes-analysis, slip-tuning and calibration


Salamunićcar, Goran; Lončarić, Sven
Method for crater detection from Martian digital topography data using gradient value/orientation, morphometry, votes-analysis, slip-tuning and calibration // Ieee transactions on geoscience and remote sensing, 48 (2010), 5; 2317-2329 doi:10.1109/TGRS.2009.2037750 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 435480 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Method for crater detection from Martian digital topography data using gradient value/orientation, morphometry, votes-analysis, slip-tuning and calibration

Autori
Salamunićcar, Goran ; Lončarić, Sven

Izvornik
Ieee transactions on geoscience and remote sensing (0196-2892) 48 (2010), 5; 2317-2329

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Crater detection algorithms ; image edge analysis ; Radon/Hough transform ; object detection ; Mars.

Sažetak
Recently, all the craters from the major currently available manually assembled catalogues have been merged into the catalogue with 57633 known Martian impact-craters. This paper presents a new Crater Detection Algorithm (CDA) for search of still uncatalogued impact-craters. The CDA is based on fuzzy edge detectors and Radon/Hough transform, and utilizes digital topography data instead of image data. The critical parts of the method providing increased accuracy are: (1) gradient value/orientation-based techniques ; (2) automated morphometry measurements of depth/diameter ratio, circularity, topographiccross- profile, rim, central peak, and radial range where the crater is preserved ; (3) circularity analysis of votes in parameter space ; (4) slip-tuning of detected craters’ parameters ; and (5) calibration which partially compensates differences in morphology between small and large craters. Using the framework for evaluation of CDAs, in comparison with prior work, the proposed detector shows significantly larger: (1) area under the free-response receiver operating characteristics (AUROC) ; and (2) number of correct detections. Using the Mars Orbiter Laser Altimeter data as input, the CDA proposed numerous candidates for GT-57633 catalogue extension. After the manual survey of all proposed craters and rejection of false detections, 57592 impact-craters were confirmed as correct detections. The accompanying result to the CDA is a new GT-115225 catalogue.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Računarstvo



POVEZANOST RADA


Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Tehničko veleučilište u Zagrebu,
Sveučilište u Zagrebu

Profili:

Avatar Url Goran Salamunićcar (autor)

Avatar Url Sven Lončarić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Salamunićcar, Goran; Lončarić, Sven
Method for crater detection from Martian digital topography data using gradient value/orientation, morphometry, votes-analysis, slip-tuning and calibration // Ieee transactions on geoscience and remote sensing, 48 (2010), 5; 2317-2329 doi:10.1109/TGRS.2009.2037750 (međunarodna recenzija, članak, znanstveni)
Salamunićcar, G. & Lončarić, S. (2010) Method for crater detection from Martian digital topography data using gradient value/orientation, morphometry, votes-analysis, slip-tuning and calibration. Ieee transactions on geoscience and remote sensing, 48 (5), 2317-2329 doi:10.1109/TGRS.2009.2037750.
@article{article, author = {Salamuni\'{c}car, Goran and Lon\v{c}ari\'{c}, Sven}, year = {2010}, pages = {2317-2329}, DOI = {10.1109/TGRS.2009.2037750}, keywords = {Crater detection algorithms, image edge analysis, Radon/Hough transform, object detection, Mars.}, journal = {Ieee transactions on geoscience and remote sensing}, doi = {10.1109/TGRS.2009.2037750}, volume = {48}, number = {5}, issn = {0196-2892}, title = {Method for crater detection from Martian digital topography data using gradient value/orientation, morphometry, votes-analysis, slip-tuning and calibration}, keyword = {Crater detection algorithms, image edge analysis, Radon/Hough transform, object detection, Mars.} }
@article{article, author = {Salamuni\'{c}car, Goran and Lon\v{c}ari\'{c}, Sven}, year = {2010}, pages = {2317-2329}, DOI = {10.1109/TGRS.2009.2037750}, keywords = {Crater detection algorithms, image edge analysis, Radon/Hough transform, object detection, Mars.}, journal = {Ieee transactions on geoscience and remote sensing}, doi = {10.1109/TGRS.2009.2037750}, volume = {48}, number = {5}, issn = {0196-2892}, title = {Method for crater detection from Martian digital topography data using gradient value/orientation, morphometry, votes-analysis, slip-tuning and calibration}, keyword = {Crater detection algorithms, image edge analysis, Radon/Hough transform, object detection, Mars.} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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