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Pregled bibliografske jedinice broj: 982920

Segmentation of the aerial RGB images of Suspected Hazardous Area for the needs of Non-technical Survey


Racetin, Ivan; Krtalić, Andrija
Segmentation of the aerial RGB images of Suspected Hazardous Area for the needs of Non-technical Survey // Book of Papers (International Symposium “Mine Action 2018”) / Adlešić, Đurđa (ur.).
Zagreb: HCR-CTRO d.o.o., 2018. str. 70-73 (poster, nije recenziran, cjeloviti rad (in extenso), znanstveni)


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Naslov
Segmentation of the aerial RGB images of Suspected Hazardous Area for the needs of Non-technical Survey

Autori
Racetin, Ivan ; Krtalić, Andrija

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

Izvornik
Book of Papers (International Symposium “Mine Action 2018”) / Adlešić, Đurđa - Zagreb : HCR-CTRO d.o.o., 2018, 70-73

Skup
The 15th Internationl Symposium 'MINE ACTION 2018'

Mjesto i datum
Slano, Hrvatska, 09-12.04.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Nije recenziran

Ključne riječi
humanitarian demining, non-technical survey, indicators of mine presence, GEOBIA, segmentation

Sažetak
In the mine action community, Non-Technical Survey is implemented to provide information for better spatial definition of mine or explosive remnants of war contamination. Airborne and spaceborne surveys of wider Suspected Hazardous Area (SHA) regions are often executed to collect information about physical changes and circumstances that may be employed in the subsequent technical interventions. Simple electro-optical sensors which acquire data from the visible part of electromagnetic spectrum, like DSLR or SLR cameras, can be used for this kind of surveys. These aerial RGB images are then inspected by trained human photo (mine scene) interpreter who is familiar with the military doctrine and specific characteristics of the conflict. Mine scene interpreter seeks for the indicators of mine presence and absence. Novel image processing techniques could provide benefits to the standard photointerpretation workflow by making it more efficient. Geographic object-based image analysis (GEOBIA) is one of them. The idea of GEOBIA is to process georeferenced images at the object level, as the entities found in the environment are usually objects (or grouped pixels) instead of single pixels. This approach enables analysis of spatial relations and geometrical object parameters. The main step influencing the GEOBIA results is the quality of image segmentation. In this paper, results of more image segmentation algorithms are tested on the color aerial images of SHA and images of exploded ammunition depot in the Croatia. Acquired results are discussed, while potential and constraints of image segmentation for application in the Non-technical survey are underlined.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija



POVEZANOST RADA


Ustanove:
Geodetski fakultet, Zagreb,
Fakultet građevinarstva, arhitekture i geodezije, Split

Profili:

Avatar Url Ivan Racetin (autor)

Avatar Url Andrija Krtalić (autor)

Citiraj ovu publikaciju

Racetin, Ivan; Krtalić, Andrija
Segmentation of the aerial RGB images of Suspected Hazardous Area for the needs of Non-technical Survey // Book of Papers (International Symposium “Mine Action 2018”) / Adlešić, Đurđa (ur.).
Zagreb: HCR-CTRO d.o.o., 2018. str. 70-73 (poster, nije recenziran, cjeloviti rad (in extenso), znanstveni)
Racetin, I. & Krtalić, A. (2018) Segmentation of the aerial RGB images of Suspected Hazardous Area for the needs of Non-technical Survey. U: Adlešić, Đ. (ur.)Book of Papers (International Symposium “Mine Action 2018”).
@article{article, editor = {Adle\v{s}i\'{c}, \DJ.}, year = {2018}, pages = {70-73}, keywords = {humanitarian demining, non-technical survey, indicators of mine presence, GEOBIA, segmentation}, title = {Segmentation of the aerial RGB images of Suspected Hazardous Area for the needs of Non-technical Survey}, keyword = {humanitarian demining, non-technical survey, indicators of mine presence, GEOBIA, segmentation}, publisher = {HCR-CTRO d.o.o.}, publisherplace = {Slano, Hrvatska} }
@article{article, editor = {Adle\v{s}i\'{c}, \DJ.}, year = {2018}, pages = {70-73}, keywords = {humanitarian demining, non-technical survey, indicators of mine presence, GEOBIA, segmentation}, title = {Segmentation of the aerial RGB images of Suspected Hazardous Area for the needs of Non-technical Survey}, keyword = {humanitarian demining, non-technical survey, indicators of mine presence, GEOBIA, segmentation}, publisher = {HCR-CTRO d.o.o.}, publisherplace = {Slano, Hrvatska} }




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