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Pregled bibliografske jedinice broj: 525157

Hybrid Method for Detection of Lunar Craters Based on Topography Reconstruction from Optical Images.


Salamunićcar, Goran; Lončarić, Sven; Grumpe, Arne; Wöhler, Christian
Hybrid Method for Detection of Lunar Craters Based on Topography Reconstruction from Optical Images. // Image and Signal Processing and Analysis / Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir (ur.).
Dubrovnik: Sveučilište u Zagrebu, 2011. str. 597-602 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 525157 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Hybrid Method for Detection of Lunar Craters Based on Topography Reconstruction from Optical Images.

Autori
Salamunićcar, Goran ; Lončarić, Sven ; Grumpe, Arne ; Wöhler, Christian

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Image and Signal Processing and Analysis / Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir - Dubrovnik : Sveučilište u Zagrebu, 2011, 597-602

ISBN
978953184159-7

Skup
7th International Symposium on Image and Signal Processing and Analysis

Mjesto i datum
Dubrovnik, Hrvatska, 04.09.2011. - 06.09.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Moon ; crater detection algorithm ; topography reconstruction

Sažetak
Many applications in lunar and planetary science require robust crater detection algorithms (CDAs). In this paper, we present a novel hybrid CDA which utilizes the topography reconstructed from optical images and our previously developed topography-based CDA. The proposed CDA is applied to two Chandrayaan 1 M3 optical images and one selected region of Lunar Reconnaissance Orbiter WAC global optical image mosaic. The overall approach consists of: (1) reconstruction of topography from optical images ; (2) corrections of brightness and contrast of used optical images (this step is required for manual verification of crater-candidates before inclusion into the resulting catalogue) ; and (3) processing by topography-based CDA. In addition, the integrated topography-based CDA has been used for the review of the initial topography reconstruction algorithm, and consecutive improvements. With such an approach, we demonstrate that our topography-based CDA, additionally improved using new crater shape-based interpolation method, can be used: (1) with topography refined from optical images ; and (2) during subsequent improvements of the topography reconstruction algorithm. Experimental evaluation of the proposed CDA is done by manual verification of crater-candidates and registration in the previous LU60645GT catalogue. The evaluation has shown that the proposed CDA was used successfully for cataloguing of 3570 Lunar craters, which are almost all visible craters from the three selected regions. The accompanying result is the new LU64215GT catalogue of 64 215 Lunar craters, which is currently the most complete catalogue of Lunar craters.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Sven Lončarić (autor)

Avatar Url Goran Salamunićcar (autor)


Citiraj ovu publikaciju:

Salamunićcar, Goran; Lončarić, Sven; Grumpe, Arne; Wöhler, Christian
Hybrid Method for Detection of Lunar Craters Based on Topography Reconstruction from Optical Images. // Image and Signal Processing and Analysis / Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir (ur.).
Dubrovnik: Sveučilište u Zagrebu, 2011. str. 597-602 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Salamunićcar, G., Lončarić, S., Grumpe, A. & Wöhler, C. (2011) Hybrid Method for Detection of Lunar Craters Based on Topography Reconstruction from Optical Images.. U: Lončarić, S., Ramponi, G. & Seršić, D. (ur.)Image and Signal Processing and Analysis.
@article{article, author = {Salamuni\'{c}car, Goran and Lon\v{c}ari\'{c}, Sven and Grumpe, Arne and W\"{o}hler, Christian}, year = {2011}, pages = {597-602}, keywords = {Moon, crater detection algorithm, topography reconstruction}, isbn = {978953184159-7}, title = {Hybrid Method for Detection of Lunar Craters Based on Topography Reconstruction from Optical Images.}, keyword = {Moon, crater detection algorithm, topography reconstruction}, publisher = {Sveu\v{c}ili\v{s}te u Zagrebu}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, author = {Salamuni\'{c}car, Goran and Lon\v{c}ari\'{c}, Sven and Grumpe, Arne and W\"{o}hler, Christian}, year = {2011}, pages = {597-602}, keywords = {Moon, crater detection algorithm, topography reconstruction}, isbn = {978953184159-7}, title = {Hybrid Method for Detection of Lunar Craters Based on Topography Reconstruction from Optical Images.}, keyword = {Moon, crater detection algorithm, topography reconstruction}, publisher = {Sveu\v{c}ili\v{s}te u Zagrebu}, publisherplace = {Dubrovnik, Hrvatska} }




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