| Analysis of Infiltration Area using Prediction Model of Infiltration Risk based on Geospatial Information |
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Nae-Ho Shin, Myoung-Ho Oh, Ho-Rim Choe, Dong-Yoon Chung, Yong-Woong Lee |
1Korea Military Academy
2KMA
3
4
5 |
| 지형공간정보 기반의 침투위험도 예측 모델을 이용한 최적침투지역 분석 |
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신내호, 오명호, 최호림, 정동윤, 이용웅 |
1육군사관학교 물리.화학과
2육군사관학교 전자.정보학과
3육군사관학교 화랑대연구소
4육군사관학교 무기기계공학과
5국방과학연구소 |
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| Abstract |
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A simple and effective analysis method is presented for predicting the best infiltration area. Based on geospatial information, numerical estimation barometer for degree of infiltration risk has been derived. The dominant geospatial features influencing infiltration risk have been found to be area altitude, degree of surface gradient, relative direction of surface gradient to the surveillance line, degree of surface gradient repetition, regional forest information. Each feature has been numerically expressed corresponding to the degree of infiltration risk of that area. Four different detection probability maps of infiltration risk for the surveillance area are drawn on the actual map with respect to the numerically expressed five dominant factors of infiltration risks. By combining the four detection probability maps, the complete picture of thr best infiltration area has been drawn. By using the map and the analytic method the effectiveness of surveillance operation can be improved. |
| Key Words:
Geospatial Information, Infiltration Area Analysis, Detection Modelling, Perception |
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