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Hrvatski centar za razminiranje (HCR) je još 2004. godine pregledao, definirao i označio cjelokupnu minski sumnjivu površinu (MSP) u Republici Hrvatskoj (RH). Međutim, zbog smanjenja rizika i nedostatka informacija iz dubine MSP-a, njezine granice definirane su u većim površinama nego što ih zauzima u stvarnosti. Razminiranje je dugotrajan i skup proces, a RH se obvezala da će do 2019. godine riješiti problem mina na svome teritoriju. Takav razvoj situacije dovodi do traŽenja i pronalaŽenja rješenja za ubrzavanje rješavanja minskog problema u RH (a i u svijetu) redukcijom definiranog MSP-a. Za redukciju već definiranih MSP-a potrebni su dodatni podaci i informacije iz dubine MSP-a na osnovi kojih će se revizijom postojećeg MSP-a izvršiti redukcija. Svi naknadno prikupljeni podaci i informacije, zajedno s poznatim podacima iz minskog informacijskog sustava (MIS) HCR-a, obrađuju se u sustavu za potporu odlučivanja u uvjetima neodređenosti. Tako dobiveni rezultati prikazuju se na različitim tematskim kartama koje prikazuju poloŽaje objekta i njihove utjecaje na okolinu u prostoru. Dakle, tematske karte na jednom prikazu daju uvid u teme na osnovi kojih eksperti u humanitarnom razminiranju mogu donositi odluke u tom procesu. Takve tematske karte rezultat su metodologije stvarane unutar projekta Space and Airbome Mined Area Reduction Tools (SMART), a dalje su razvijane: u tehnologijskom projektu Sustav za multisenzorsko zrakoplovno izviđanje i nadzor u izvanrednim situacijama i zaštiti okoliša, TP-06/0007-01, Ministarstva znanosti, obrazovanja i sporta RH; u projektu Deplovment of the Advanced Intelligence Advanced Intelligence Decision Support Svstem for Mine Suspected Area Reduction in Bosnia and Herzegovina i autorovoj doktorskoj disertaciji. Ovim radom se uspostavljaju novi nazivi unaprijeđenih i novih tematskih karata koji nedvosmisleno definiraju ono što prikazuju i olakšavaju čitljivost i komunikaciju između proizvođača i korisnika. [ABSTRACT FROM AUTHOR]

The Croatian Mine Action Centre (CROMAC) reviewed, defined and marked the entire mine suspected area (MSA) in Croatia by the year 2004. However, due to the need to reduce risk and the lack of information from the deepest reaches of the MSA, its surface area was defined as larger than in reality. Mine clearance is a long-term, expensive process, and Croatia has committed itself to resolving the problem of landmines on its territory by 2019. Such developments have led to searching for and finding solutions to speed up resolution of the mine problem in Croatia (and in the world) through reducing the defined MSA. The reduction of an already defined MSA requires additional data and information from the deepest reaches of the MSA, on the basis of which a revision of existing SMEs to make reductions will be carried out. Based on these data and revision of the existing MSA, reduction can be performed. All subsequently collected data and information, together with previously known data from the CROMAC Mine Information System (MIS), are processed in the decision support system in conditions of uncertainty. The results obtained are displayed on different thematic maps, showing the positions of objects and their spatial impact on the environment. Thus, thematic maps allow insights into topics which experts in humanitarian detaining can use to make decisions in the process. These thematic maps are the result of the methodology created within the project Space and Airborne Mined Area Reduction Tools (SMART), and further developed in the technological project System for Multisensor Airborne Reconnaissance and Surveillance in Emergency Situations and Environmental Protection, TP-06/0007-01, Ministry of Science, Education and Sports; Deployment of Advanced Intelligence Decision Support System for Mine Suspected Area Reduction in Bosnia and Herzegovina and the author's doctoral dissertation. This paper establishes the new terminology for new, improved thematic maps that unambiguously define their content and facilitate communication between producers and users. [ABSTRACT FROM AUTHOR]

Nastojanjem dobivanja boljeg uvida u minsko sumnjivo područje (MSP) u Republici Hrvatskoj, u okviru projekta Europske komisije Airborne Minefield Area Reduction (ARC, EC IST-2000-25300, http:// www.arc.vub.ac.be) formiran je digitalni zrakoplovni višesenzorski i višerazlučivi sustav za prikupljanje informacija (snimki) o minsko sumnjivoj površini. Sustav se sastoji od matrične kamere (vidljivi i blisko infracrveni dio elektromagnetskog spektra 0.4-1.1 µm), termalnog (termalni dio elektromagnetskog spektra. 8-12 µm) i hiperspektralnog linijskog skenera. Zbog specifične namjene sustava i objekata koje je trebalo otkriti na sceni, snimanja su provođena sa relativnih visina leta platforme (helikopter) od 130 do 900 m. Kako su relativne visine leta bile male. a MSP velika, broj snimki bio je također velik i pojavila se potreba za spajanjem snimki u veće cjeline kako bi se dobio uvid u cjelinu područja i interakciju utjecaja detektiranih objekata na scem Sustav nije raspolagao s modulom za automatsko mozaiciranje i geokodiranje pa se u tu svrhu prišlo ručnoj izradi mozaika, a nakon toga ručnom geokodiranju. Ti su postupci zatim omogućili klasifikaciju scene, kako bi se scena što bolje raščlanila i fuziju višesenzorskih i višerazlučivih slika kako bi se što više informacija moglo iz nje dobiti. U ovom radu pokazano je da je moguće provesti spomenute procese i uz pomoć ručnog mozaiciranja i geokodiranja [ABSTRACT FROM AUTHOR]

The digital airborne multisensor and multiresolution system for collection of information (images) about mine suspected area was created, within European commission project Airborne Minefield Area Reduction (ARC, EC IST-2000-25300, http:// www.arc.vub.ac.be) to gain a better perspective in mine suspected areas (MSP) in the Republic of Croatia. The system consists of a matrix camera (visible and near infrared range of electromagnetic spectrum, 0.4-1.1 µm), thermal (thermal range of electromagnetic spectrum, 8-14 µm) and a hyperspectral linear scanner. Because of a specific purpose and seeking object on the scene, the flights for collecting the images took place at heights from 130 m to 900 m above the ground. The result of a small relative flight height and large MSPs was a large number of images which cover MSPs. Therefore, the need for merging images in largest parts, for a better perspective in whole MSPs and the interaction of detected object influences on the scene appeared. The mentioned system did not dispose of the module for automatic mosaicking and geocoding, so mosaicking and after that geocoding were done manually. This process made the classification of the scene (better distinguishing of objects on the scene) and fusion of multispectral and multiresolution images after that possible. Classification and image fusion can be even done by manually mosaicking and geocoding. This article demonstrated this claim. [ABSTRACT FROM AUTHOR]