International scientific publications related to Remote Sensing

[J6] Cs. Benedek, M. Shadaydeh, Z. Kato, T. Szirányi and J. Zerubia, ”Multilayer Markov Random Field Models for Change Detection in Optical Remote Sensing Images,” ISPRS Journal of Photogrammetry and Remote Sensing vol. 107, pp. 22-37, 2015, IF: 4.188

[J5] A. Börcs and Cs. Benedek: "Extraction of Vehicle Groups in Airborne Lidar Point Clouds with Two-Level Point Processes", IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 3, pp. 1475-1489, 2015, IF: 3.360

[J4] A. Manno-Kovacs and T. Szirányi, ”Orientation-selective building detection in aerial images,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 108, pp. 94-112, 2015, IF: 3.132*

[J3] A. Manno-Kovacs and A. O. Ok, ”Building Detection from Monocular VHR Images by Integrated Urban Area Knowledge,” IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 10, pp. 2140-2144, 2015, IF: 2.095*

[J2] T. Szirányi and M. Shadaydeh: "Segmentation Of Remote Sensing Images Using Similarity Measure Based Fusion-MRF Model," IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 9, pp. 1544-1548. 2014

[J1] L. Kovacs, A. Kovacs, A. Utasi and T. Sziranyi, ”Flying Target Detection and Recognition by Feature Fusion,” Optical Engineering, vol. 51, no. 11, pp. 117002-1-13, 2012, IF: 0.88

[C11] A. Manno-Kovacs, E. Giusti, F. Berizzi, L. Kovács, "Automatic Target Classification in Passive ISAR Range-Crossrange Images", IEEE Radar Conference, April 2018

[C10] L. Kovács, A. Manno-Kovacs, "Feature-Based Target Detection and Classification in Passive ISAR Range-Crossrange Images", Signal Processing Symposium (SPSympo), MAPIS Special Session, pp. 9-9, 2017.

[C9] M. Shadaydeh, A. Manno-Kovács and T. Szirányi, "Change Detection in Wetlands using Multi-layer Fusion Markov Random Field", What can Remote Sensing do for the Conservation of Wetlands? - 1st International Symposium, Sevilla, Spain, October 2015

[C8] A. Zlinszky, N. Pfeifer, A. Manno-Kovács and T. Szirányi, "LiDAR as a data source for the 2020 biodiversity strategy: overview, case studies and future directions for wetland conservation mapping", What can Remote Sensing do for the Conservation of Wetlands? - 1st International Symposium, Sevilla, Spain, October 2015

[C7] M. Shadaydeh and T. Szirányi, "An improved local similarity measure estimation for change detection in remote sensing images", IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES), Yogyakarta, pp. 234-238, 2014

[C6] A. Börcs, B. Nagy, M. Baticz and Cs. Benedek: "A Model-based Approach for Fast Vehicle Detection in Continuously Streamed Urban LIDAR Point Clouds," Workshop on Scene Understanding for Autonomous Systemsat ACCV, Lecture Notes in Computer Science, Singapore, November 2014

[C5] A. Börcs, B. Nagy and Cs. Benedek: "Fast 3-D Urban Object Detection on Streaming Point Clouds," Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving at ECCV, Lecture Notes in Computer Science, Zürich, Switzerland, September 2014

[C4] Cs. Benedek: "Hierarchical Image Content Analysis with an Embedded Marked Point Process Framework," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy 2014

[C3] Cs. Benedek: ”A Two-Layer Marked Point Process Framework for Multilevel Object Population Analysis,” International Conference on Image Analysis and Recognition (ICIAR), Póvoa de Varzim, Portugal, June 2013, Lecture Notes in Computer Science, Springer, 2013

[C2] A. Börcs, Cs. Benedek: ”Urban traffic monitoring from aerial Lidar data with a Two-Level Marked Point Process Model, International Conference on Pattern Recognition (ICPR), Tsukuba City, Japan, 2012

[C1] A. Börcs, Cs. Benedek: A Marked Point Process Model for Vehicle Detection in Aerial Lidar Point Clouds, XXII ISPRS Congress, Melbourne, Australia, 2012, published by ISPRS Annals of Photogrammetry, Remote Sensing and the Spatial Information Sciences, Volume I-3, pp. 93-98

Internal research reports

[R1] A. Börcs and Cs. Benedek: "Urban Traffic Monitoring from LIDAR Data with a Two-Level Marked Point Process Model," MTA SZTAKI Research Report, No. i4D-2, January 2013

In Hungarian scientific conferences

[H2] P. Polcz and Cs. Benedek:  "3D mesh generation from aerial LiDAR point cloud data," Hungarian Computer Graphics and Geometry Conference (GRAFGEO), Budapest, Hungary 2014

[H1] Börcs A. és Benedek Cs. "Városi forgalomfelügyelet kétszintű jelölt pontfolyamat modellel légi LiDAR felvételeken", Conference of Hungarian Association for Image Analysis and Pattern Recognititon (KÉPAF), Bakonybél, Hungary, 2013, in Hungarian

Selected prior publications of the partners in remote sensing

[P5] Cs. Benedek and M. Martorella: ”Moving Target Analysis in ISAR Image Sequences with a Multiframe Marked Point Process Model”, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 4, pp. 2234 - 2246, 2014

[P4] A. Kovács, T. Szirányi, "Improved Harris Feature Point Set for Orientation Sensitive Urban Area Detection in Aerial Images", IEEE Geoscience and Remote Sensing Letters, Volume 10, Issue 4, pp. 796-800, 2013

[P3] Cs. Benedek, X. Descombes and J. Zerubia: ”Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics”, IEEE Trans. on Pattern Analysis and Machine Intelligence vol. 34, no. 1, pp. 33-50, 2012

[P2] Cs. Benedek and T. Szirányi: ”Change Detection in Optical Aerial Images by a Multi-Layer Conditional Mixed Markov Model”, IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 10, pp. 3416-3430, 2009

[P1] Cs. Benedek, T. Szirányi, Z. Kato and J. Zerubia: ”Detection of Object Motion Regions in Aerial Image Pairs with a Multi-Layer Markovian Model”, IEEE Transactions on Image Processing, vol. 18, no. 10, pp. 2303-2315, 2009