G. Robinson and B. L. Robinson, "Pattern minefield detection from inexact data," SPIE, Orlando, Florida,vol. 2496, pp. 568--574, 1995.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....for the identification of minefield patterns that may be present in the surveyed region. For patterned minefields, which exhibit a particular regularity (e.g. equal spacing and colinearity) compared to the surrounding clutter, several minefield models can be found in the literature [14] 15] [16], 17] 18] 19] 2.2 Detection of minefield indicators Under most real life circumstances, the detection of the individual mines from airborne images becomes a very difficult task. In the case of Mozambique, the minefields are very old, containing mainly buried AP mines, mostly covered with ....

G. Robinson and B. L. Robinson, "Pattern minefield detection from inexact data," SPIE, Orlando, Florida,vol. 2496, pp. 568--574, 1995.

....the most popular angle for alignment are flagged as probable mines. A minefield confidence is then estimated, as the total number of these objects or, alternately, as the sum of the natural logarithms of the confidence values for these objects (mine cues) Method 2 G. Robinson and B. L. Robinson [7] introduced a O(n 5 2 ) complexity algorithm, which, for a given pointset, finds all maximal approximately equally spaced and collinear regular point subsets, by taking into account inaccuracies, in mine placements. A point sequence is an regular point set if each point may be displaced by ....

G. Robinson, B. L. Robinson. `Pattern minefield detection from inexact data'. part two, pages 568-574, SPIE Vol. 2496, Orlando, Florida, 1995.

.... vector size Estimation of , S, p Classification Input image Detection result Learning step 2 nd International Symposium on Operationalization of Remote Sensing, Enschede, The Netherlands, 16 20 August, 1999 surrounding clutter, several minefield models can be found in the literature [11] 12] [13], 14] 15] 16] In our approach, a geometrical model based minefield pattern recognition is proposed. The method is applied to the configuration of points that are extracted after the classification and clutter reduction steps. First the Hough transform is used for line detection (linearity ....

G. Robinson, B. L. Robinson, "Pattern minefield detection from inexact data," SPIE Vol. 2496, pp. 568-574, Orlando, Florida, 1995.

.... S to the direction ) Until S cannot be extended to the direction 6: Let LIST = LIST [ fSg 7: Remove the opposite direction most point from S Figure 3: An O(n 5=2 ) time algorithm (RMD) for the Mine Dection Problem We can prove the following correctness property of our algorithm (see [7] for details) Theorem 3.1 Algorithm RMD finds all maximal regular sequences among the input points for all 0. 4 The Algorithm Details We now expand on some of the subroutines used implicitly in the high level description of the algorithm. In particular, we describe how we extend an ....

....Figure 4) Therefore if all interpoint distances are greater than 8 , we are guaranteed that this will never occur, and this in turn prevents exponential output size. Based on the above techniques, we can prove the following time complexity when interpoint distances are are greater than 8 . see [7] for details) Theorem 4.1 The time complexity of algorithm RMD is O(n 5=2 ) 5 Conclusion We have formulated and addressed the Mine Detection Problem from inexact data. In the unconstrained variant, we have established an exponential lower bound on the output. On the other hand, under ....

G. Robins and B. L. Robinson, Pattern Minefield Detection from Inexact Data, Tech. Rep. CS-95-21, Department of Computer Science, University of Virginia, April 1995.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC