Beril Sirmacek, Dr. -Eng. in Computer Science
About Top Topics Full List Books Awards
Publications Page Cover

Publications

Google Scholar

Research interest


h-index = 15 (June 2020)

I am author of so many impactful scientific journals and books.

I have been contributing to the literature with novel and robust mathematical methods, algorithm design and implementations. My main focus is to make the computers analyse and understand images, detect objects almost like human can see and understand them. Developing algorithms robust to the viewing conditions and sensor parameters is where I feel so much enthusiastic about. This is why lately I became highly engaged with Deep Learning algorithms.

Coming from computer vision field, I applied my knowledge on remote sensing data (satellite/drone images), but I have been also working on indoor navigation problems of computer vision (visual odometry, SLAM).

As an artist, I love rendering the results in 2D/3D and even as AR/VR applications for easy interaction with the users.

Top Topics


Object recognition

Embedded deep learning, real-time recognition and tracking.

Local features and descriptor vectors

Invariant color and other multidimensional spaces.

3D reconstruction and texturing

SfM, SLAM, 3D reconstruction, mesh generation and localization algorithms.

Earth observation

Satellite image and point cloud analysis for automatic mapping.

Menu

PhD Dissertation





  • Beril Sirmacek, "Object detection in satellite and aerial images", PhD dissertation, 2009. Access

    • Full List of Academic Publications





    Topic: AI in healthcare
    1. (arXiv e-print) Beril Sirmacek, Max Kivits, "Semantic segmentation of skin leasions using a small data set", Image and Video Processing (eess.IV) and Computer Vision and Pattern Recognition (cs.CV), arXiv:1910.10534, October 2019. Access
    2. Girindra Wardhana, Hamid Naghibi, Beril Sirmacek, Momen Abayazid, "Liver classification implementation for fast automatic liver segmentation in CT scan images", 25th Congress of the European Society of Biomechanics, July 7-10, 2019, Vienna, Austria
    3. Beril Sirmacek, Jeffrey Dokter, Hamid Naghibi, Momen Abayazid, Ferdi van der Heijden, "A deep reinforcement learning network as a trainable cancer staging system", 25th Congress of the European Society of Biomechanics, July 7-10, 2019, Vienna, Austria
    4. Beril Sirmacek, Max Kivits, Hamid Naghibi, Momen Abayazid, Ferdi van der Heijden, "An artificial intelligence framework for automatic skin cancer segmentation using a small training dataset", 25th Congress of the European Society of Biomechanics, July 7-10, 2019, Vienna, Austria
    5. Beril Sirmacek, Hamid Naghibi, Momen Abayazid, "Predicting irregular respiratory signals with artificial intelligence for real-time tumor tracking applications", 25th Congress of the European Society of Biomechanics, July 7-10, 2019, Vienna, Austria
    6. Maryam Berijanian, Hamid Naghibi, Beril Sirmacek, Momen Abayazid, "Toward patient-specific estimation of hepatic tumors respiratory motion: A finite element-based machine learning approach", CARS Computer Assisted Radiology & Surgery International Conference, Rennes, France, June 18-21 2019
    7. (arXiv e-print) Gerrit Brugman, Beril Sirmacek, "3D tissue reconstruction with Kinect to evaluate neck lymphedema", Computer Vision and Pattern Recognition (cs.CV); Computational Geometry (cs.CG), arXiv:1911.00678, November 2019. Access
    8. (arXiv e-print) Sheona M.M.D.P. Sequeira, Beril Sirmacek, "A low-cost real-time 3D imaging system for contactless asthma observation", Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC), arXiv:1911.00879, November 2019. Access
    9. F. van den Noort, B. Sirmacek, C.H. van der Vaart, C.H. Slump, "Deep learning enables automatic 3D segmentation of the puborectalis muscle on transperineal ultrasound", International Urogynecological Association (IUGA) 45th annual meeting, June 24-27, 2020, The Hague, The Netherlands. https://www.iugameeting.org/
    10. (Journal Article) Girindra Wardhana, Hamid Naghibi, Beril Sirmacek, Momen Abayazid, "Toward Reliable Automatic Liver and Tumor Segmentation using Convolutional Neural Network Based on 2.5D Models", International Journal of Computer Assisted Radiology and Surgery (IJCARS), November 2020. Access
    11. (Journal Article) A. Chizari, T. Knop, B. Sirmacek, F. van der Heijden, and W. Steenbergen, "Exploration of movement artefacts in handheld laser speckle contrast perfusion imaging," Biomed. Opt. Express 11, 2352-2365 (2020). Access


    Topic: AI for Robotics vision and path optimization
    1. J. Postmes, N. Botteghi, B. Sirmacek, A. Kamilaris, "A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture", The 19th International Conference on Computer Analysis of Images and Patterns CAIP2021, 27 Sep - 1 Oct 2021.
    2. N. Botteghi, R. Schulte, B. Sirmacek, M. Poel, C. Brune, "Curiosity-driven reinforcement learning agent for mapping unknown indoor environments", The XXIVth International Society for Photogrammetry and Remote Sensing (ISPRS), Nice, France, 2021.
    3. A. Kamilaris, N. Botteghi, B. Sirmacek, L. Sinai, "Multi-agent path planning of robotic swarms in agricultural fields", XXIV IPSRS Congress International Society for Photogrammetry and Remote Sensing, 14-20 June 2020, Nice, France.
    4. N. Botteghi, B. Sirmacek, M. Poel, C. Brune, R. Schulte, "RLSLAM: Reinforcement learning helping SLAM", XXIV IPSRS Congress International Society for Photogrammetry and Remote Sensing, 14-20 June 2020, Nice, France.
    5. (Arxiv e-print) N. Botteghi, K. A.A. Mustafa, B. Sirmacek, M. Poel, S. Stramigioli, "On reward shaping for mobile robot navigation: a reinforcement learning and SLAM based approach", Arxiv e-print, 2020. Access
    6. N. Botteghi, R. Obbink, D.Geijs, M. Poel, B. Sirmacek, C. Brune, A. Mersha, S. Stramigioli, "Low Dimensional State Representation Learning with Reward-shaped Priors", 25th International Conference on Pattern Recognition (ICPR2020), Milan, Italy, 2020.
    7. N. Botteghi, K. Mustafa, B. Sirmacek, M. Poel, "Entropy-Based Exploration for Mobile Robot Navigation: A Learning-Based Approach", the 31st International Conference on Automated Planning and Scheduling ICAPS PlanRob 2020, October 2020.


      Topic: Automatic 3D urban structure modelling
    1. Khaled Mustafa, Nicolo Botteghi, Beril Sirmacek, "Reinforcement Learning and SLAM based approach for mobile robot navigation in unknown environments", ISPRS Indoor 3D Track, 11-12 June, 2019,Enschede, The Netherlands
    2. Beril Sirmacek, Ramy Rashad, Patrick Radl, "Autonomous uav-based 3d-reconstruction of structures for aerial physical interaction", ISPRS UAV-g Track, 11-12 June, 2019,Enschede, The Netherlands
    3. (Journal Article) B. Sirmacek, R. Lindenbergh, "Active shapes for automatic 3D modeling of buildings", Journal of Imaging, Vol. 1 (1), pp. 156-179, 2015.
    4. B. Sirmacek, Y. Shen, R. Lindenbergh, S. Zlatanova, A. Diakite, "Comparison of ZEB1 and Leica C10 indoor laser scanning point clouds", XXIII ISPRS Congress, ISPRS Annals, Prague, Czech Republic, 2016.
    5. B. Sirmacek, R. Lindenbergh, J. Roebroeks, "Quality assessment and comparison of smartphone, airborne and Leica C10 laser scanner based point clouds", XXIII ISPRS Congress, ISPRS Annals, Prague, Czech Republic, 2016.
    6. B. Sirmacek, J. Lichtenauer, "A semi-automatic procedure for texturing of laser scanning point clouds with Google Streetview images", ISPRS GEOSPATIAL WEEK CMRT 2015, La Grande Motte - France, 2015.
    7. B. Sirmacek, R. Lindenbergh, "Automatic building reconstruction from digital surface models using 3D active shape models", Eurographics Symposium on Geometry Processing, Workshop on Processing Large Geospatial Data, Cardiff, UK, July 2014.
    8. B. Sirmacek, R. Lindenbergh, "Accuracy assessment of building point clouds automatically generated from iPhone images", ISPRS Symposium, Riva del Garda, Italy, 2014.
    9. B. Sirmacek, R. Lindenbergh, "Automatic generation and registration of iPhone Point Clouds on Terrestrial LASER scanning point clouds", IntenC Workshop 2014 on Change Detection and 3D Reconstruction, Deutsches Zentrum fuer Luft- und Raumfahrt (DLR) Earth Observation Center (EOC), Oberpfaffenhofen, Germany, May 2014.
    10. B. Sirmacek, R. Lindenbergh, M. Menenti "Automatic registration of iPhone images to LASER point clouds of urban structures using shape features", In Proceedings of the 6th ISPRS Workshop on Laser Scanning 2013, Antalya, Turkey, November 2013.
    11. T. Krauss, B. Sirmacek, H. Arefi, "Fusing stereo and multispectral data from Woldview-2 for urban modeling", In SPIE Defense, Security and Sensing, Baltimore, Maryland, USA, 2012.
    12. B. Sirmacek, L. Hoegner, E. Michaelsen, U. Stilla, "An automatic system to classify thermal facade images based on perceptual organization", XXII International Society for Photogrammetry and Remote Sensing Congress, Melbourne, Australia, September 2012.
    13. B. Sirmacek, H. Taubenboeck, P. Reinartz, "A novel 3D city modelling approach for satellite stereo data using 3D active shape models on DSMs", XXII International Society for Photogrammetry and Remote Sensing Congress, Melbourne, Australia, September 2012.
    14. B. Sirmacek, H. Arefi, T. Krauss, "Performance assesment of fully automatic threedimensional city model reconstruction methods", XXII International Society for Photogrammetry and Remote Sensing Congress, Melbourne, Australia, September 2012.
    15. (Journal Article) B. Sirmacek, H. Taubenboeck, P. Reinartz and M. Ehlers, "Performance Evaluation for 3D City Model Generation of Six Different DSMs from Air- and Spaceborne Sensors", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Optical Multi-Angular Data Special Issue, Vol. 5 (1), pp. 59-70, January 2012.
    16. B. Sirmacek, L. Hoegner, U. Stilla, "Detection of windows and doors from thermal images by grouping geometrical features", Joint Urban Remote Sensing Event (JURSE'11), Muenchen, Germany, April 2011.
    17. B. Sirmacek, P. d'Angelo, P. Reinartz, "Detecting complex building shapes in panchromatic satellite images for digital elevation model enhancement", ISPRS Workshop on Modeling of optical airborne and space borne sensors, Istanbul, Turkey, October 2010.
    18. B. Sirmacek, P. d'Angelo, T. Krauss, P. Reinartz, "Enhancing Urban Digital Elevation Models Using Automated Computer Vision Techniques", ISPRS Commission VII Symposium, Vienna, Austria, July 2010.


      Topic: Automatic tree extraction from point clouds
    1. J. Boehm, M. Bredif, T. Gierlinger, M. Kraemer, R. Lindenbergh, K. Liu, F. Michel, B. Sirmacek, "The IQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds", Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 301-307, 2016. Access
    2. B. Sirmacek, “Automatic tree growth observation using laser scanners”, World Congress on GIS & Remote Sensing, New Orleans, Louisiana, USA, August 2016.
    3. (Journal Article) B. Sirmacek, R. Lindenbergh, “Detecting trees using airborne LASER scanning point clouds”, Annals of Forest Science, 2016.
    4. B. Gorte, M. Attene, S. Biasotti, S. Oude Elberink, B. Sirmacek, J. Wang, "Tree separation and classification in mobile mapping lidar data", IQmulus Processing Contest (IQPC’15), GeoBigData'15 Managing, Processing, and Rendering Remotely-Sensed Big Geospatial Data, ISPRS GEOSPATIAL WEEK , La Grande Motte - France, 2015.
    5. R.C. Lindenbergh, D. Berthold, B. Sirmacek, M. Herrero-Huerta, J. Wang , D. Ebersbach, "Automated large scale parameter extraction of road-side trees sampled by a laser mobile mapping system", GeoBigData'15 Managing, Processing, and Rendering Remotely-Sensed Big Geospatial Data, ISPRS GEOSPATIAL WEEK , La Grande Motte - France, 2015.
    6. B. Sirmacek, R. Lindenbergh, "Automatic classification of trees from LASER scanning point clouds", ISPRS GEOSPATIAL WEEK , La Grande Motte - France, 2015.
    7. R. Lindenbergh, J. Wang, M. Herrero-Huerta, B. Sirmacek, "Automatic tree analysis", EuroSDR test of Commission II, International benchmarking on terrestrial laser scanning (TLS) methods for forestry, NLS Finnish Geospatial Research Institute (FGI), August 2015.


      Topic: 3D modelling of interior objects
    1. (Journal Article) Granero-Montagud, L., Portales, C., Pastor-Carbonell, B., Ribes-Gomez, E., Gutierrez-Lucas, A., Tornari, V., Papadakis, V., Groves, R. M., Sirmacek, B., Bonazza, A., Ozga, I., Vermeiren, J., van der Zanden, K., Foster, M., Aswendt, P., Borreman, A., Ward, J.D., Cardoso, A., Aguiar, L., Alves, F., Ropret, P., Luzon-Nogue, J.M., Dietz, C., "SYDDARTA: new methodology for digitization of deterioration estimation in paintings", Proceedings of SPIE 8790, Optics for Arts, Architecture, and Archaeology IV, 879008 (May 30, 2013).
    2. B. Sirmacek, "Automatic Tree Detection from Laser Scanning Point Clouds", ISPRS GEOSPATIAL WEEK Silvilaser 2015, La Grande Motte - France, 2015.
    3. B.G.H. Gorte, A. Vargas Luna, B. Sirmacek, "Camera-Projector 3D Scanning of a SemiSubmerged Terrain in a Flume", OGC SWG IndoorGML ISPRS Acquisition and Modelling of Indoor and Enclosed Environments 2013, pp. 13-18, 11–13 December 2013, Cape Town, South Africa.
    4. Granero-Montagud, L., Portales, C., Pastor-Carbonell, B., Ribes-Gomez, E., Gutierrez-Lucas, A., Tornari, V., Papadakis, V., Groves, R. M., Sirmacek, B., Bonazza, A., Ozga, I., Vermeiren, J., van der Zanden, K., Foster, M., Aswendt, P., Borreman, A., Ward, J.D., Cardoso, A., Aguiar, L., Alves, F., Ropret, P., Luzon-Nogue, J.M., Dietz, C., "Deterioration estimation of paintings by means of combined 3D and hyperspectral data analysis", DOI: 10.1117/12.2020336 Conference: Optics for Arts, Architecture, and Archaeology IV, At Munich, Volume: 8790, 2013.


      Topic: Automatic urban map generation from remote sensing images
    1. N. Botteghi, B. Sirmacek and C. Unsalan, "RLSnake: a hybrid reinforcement learning approach for road detection", The XXIVth International Society for Photogrammetry and Remote Sensing (ISPRS), Nice, France, 2021.
    2. (Journal Article) B. Sirmacek and C. Unsalan, "Road network detection using probabilistic and graph theoretical methods", IEEE Transactions on Geoscience and Remote Sensing, Vol. 50 (11), pp. 4441 - 4453, November 2012.
    3. (Journal Article) B. Sirmacek and C. Unsalan, "A probabilistic framework to detect buildings in aerial and satellite images", IEEE Transactions on Geoscience and Remote Sensing, Vol. 49 (1), pp. 211-221, January 2011.
    4. (Journal Article) B. Sirmacek and C. Unsalan, "Using local features to measure land development in urban regions", Pattern Recognition Letters, Vol. 31 (10), pp. 1155 - 1159, July 2010.
    5. (Journal Article) B. Sirmacek and C. Unsalan, "Urban area detection using local feature points and spatial voting", IEEE Geoscience and Remote Sensing Letters, Vol.7 (1), January 2010.
    6. (Journal Article) B. Sirmacek, C. Unsalan, "Urban Area and Building Detection Using SIFT Keypoints and Graph Theory", IEEE Transactions on Geoscience and Remote Sensing, Vol.47 (4), pp. 1156-1167, April 2009.
    7. B. Sirmacek, C. Unsalan, "Using Structural Features to Detect Buildings in Panchromatic Satellite Images", 5th International Conference on Recent Advances in Space Technologies RAST 2011, Istanbul, Turkey, June 2011.
    8. B. Sirmacek, C. Unsalan, "Road Detection From Aerial Images Using Color Features", 5th International Conference on Recent Advances in Space Technologies RAST 2011, Istanbul, Turkey, June 2011.
    9. B. Sirmacek, C. Unsalan, "A Probabilistic Approach to Detect Urban Regions From Remotely Sensed Images Based on Combination of Local Features", 5th International Conference on Recent Advances in Space Technologies RAST 2011, Istanbul, Turkey, June 2011.
    10. B. Sirmacek, "Graph Theory and Mean Shift Segmentation Based Classification of Building Facades", Joint Urban Remote Sensing Event (JURSE'11), Muenchen, Germany, April 2011.
    11. B. Sirmacek, C. Unsalan "Road Network Extraction using Edge Detection and Spatial Voting", International Conference on Pattern Recognition ICPR2010, Istanbul, Turkey, August 2010. 37) B. Sirmacek and C. Unsalan, "Damaged Building Detection in Aerial Images using Shadow Information", 4th International Conference on Recent Advances in Space Technologies RAST 2009, Istanbul, Turkey, June 2009.
    12. B. Sirmacek and C. Unsalan, "Building Detection Using Gabor Features in Very High Resolution Satellite Images", 4th International Conference on Recent Advances in Space Technologies RAST 2009, Istanbul, Turkey, June 2009.
    13. B. Sirmacek and C. Unsalan, "Building Detection from Aerial Imagery using Invariant Color Features and Shadow Information", International Symposium on Computer and Information Sciences ISCIS'2008, Istanbul, Turkey, October 2008.


      Topic: AI for urban monitoring and smart cities
    1. Alejandro Güemes and Hampus Tober and Stefano Discetti and Andrea Ianiro and Beril Sirmacek and Hossein Azizpour and Ricardo Vinuesa, "From coarse wall measurements to turbulent velocity fields with deep learning", March 2021, Access


      Topic: Person tracking from airborne image sequences
    1. (Journal Article) B. Sirmacek, P. Reinartz, "Feature Analysis for Detecting and Tracking People from Airborne Images", Journal of Applied Remote Sensing, Vol. 7, 2013.
    2. B. Sirmacek, J. Lichtenauer, C. Unsalan, P. Reinartz, "Performance assessment of automatic crowd detection techniques on airborne images", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, July 2012.
    3. B. Sirmacek, P. Reinartz, "Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework", Proceedings of the 2nd IEEE ICCV Workshop on Analysis and Retrieval and Tracked Events and Motion in Imagery Streams (ARTEMIS'11), Barcelona, Spain, November 2011.
    4. M. Butenuth, F. Burkert, A. Kneidl, A. Borrmann,F. Schmidt,S. Hinz,B. Sirmacek, D. Hartmann, "Integrating pedestrian simulation, tracking and event detection for crowd analysis", Proceedings of the 1st IEEE ICCV Workshop on Modeling, Simulation and Visual Analysis of Large Crowds, Barcelona, Spain, November 2011.
    5. B. Sirmacek, P. Reinartz, "Automatic crowd analysis from very high resolution satellite images", Proceedings of Photogrammetry and Image Analysis Conference (PIA'11), Munich, Germany, October 2011.
    6. B. Sirmacek, P. Reinartz, "Automatic Crowd Analysis from Airborne Images", 5th International Conference on Recent Advances in Space Technologies RAST 2011, Istanbul, Turkey, June 2011.
    7. B. Sirmacek, P. Reinartz, "Kalman Filter Based Feature Analysis for Tracking People from Airborne Images", ISPRS Workshop High-Resolution Earth Imaging for Geospatial Information, Hannover, Germany, June 2011.


      Topic: Wild life monitoring from airborne image sequences
    1. B. Sirmacek, "Animal observation case study: Automatic population counts of birds from low-cost terrestrial images", ARGUS Workshop, Delft, September 2014.
    2. B. Sirmacek, M. Wegmann, A.D.P. Cross, J.G.C. Hopcraft, P. Reinartz, S. Dech, "Automatic population counts for improved wildlife management using aerial photography", 6th International Congress on Environmental Modelling and Software iEMSs 2012 Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Leipzig, Germany, July 2012.


      Topic: Augmented reality and interactive applications
    1. B. Sirmacek, "Representation of real urban structures in a game platform for controling the 3D rendering with hand gestures", XXIII ISPRS Congress, ISPRS Archieves, Prague, Czech Republic, 2016.


      Topic: AI to solve optimal parameter estimation problems
    1. A. Den Hollander, T. Vaneker, B. Sirmacek, "Multi Objective Optimization in the Metal Additive Manufacturing Process Chain using Machine Learning", Fraunhofer Direct Digital Manufacturing Conference DDMC2020, March 18-19 2020, Berlin, Germany.


      Topic: Computer vision for autonomous driving systems
    1. (arXiv e-print) B. Sirmacek, N. Botteghi, S. Sanchez, "Sequential image processing methods for improving semantic video segmentation algorithms", Image and video processing eess.IV, arXiv:1910.13348, October 2019. Access


      Topic: Artificial intelligence and machine learning for occupancy prediction at smart offices
    1. (Journal Article) Sirmacek, B.; Riveiro, M. Occupancy Prediction Using Low-Cost and Low-Resolution Heat Sensors for Smart Offices. Sensors 2020, 20, 5497. https://doi.org/10.3390/s20195497 Access
    2. (Journal Article) Arvidsson, S.; Gullstrand, M.; Sirmacek, B.; Riveiro, M. Sensor Fusion and Convolutional Neural Networks for Indoor Occupancy Prediction Using Multiple Low-Cost Low-Resolution Heat Sensor Data. Sensors 2021, 21, 1036. https://doi.org/10.3390/s21041036 Access

    Books & Book chapters


    1. Book chapter: AIM in Climate Change and City Pollution
    Authors: Torres, P., Sirmacek, B., Hoyas, S., Vinuesa, R.
    Publisher: Springer Nature, Artificial Intelligence in Medicine Book
    February 2021

    2. Book: Object Detection in Satellite and Aerial Images
    Authors: Beril Sirmacek, Cem Unsalan
    Publisher: Verlag Dr. Mueller
    July 2010

    3. Book: A Quick Start to Texas Instruments TMS 320C6713 DSK
    Authors: Rifat Benveniste, Beril Sirmacek, Cem Unsalan
    Publisher: Texas Instruments, European University Program Teaching Document
    July 2010

    4. Book: Software Developer on Day 1
    Author: Beril Sirmacek, Publisher: Amazon CreateSpace Available on Amazon

    5. Book chapter: Fusion and Analysis of Geospatial point clouds, coverages and volumetric data sets, Synthesis Lectures on Visual Computing

    Chapter-2 Spatio-temporal data fusion
    Publisher: Morgan & Claypool Publishers
    April 2016
    Menu
    6. Research report: IQmulus Development Guidelines for Data Integration and Processing

    G. Patanè (Editor), M. Spagnuolo, S.Biasotti, A. Cerri, B. Falcidieno, J. Boehm, S. Julier, D. Backes, D. Kristof, M. Belenyesi, I. Laszlo, R. Giachetta, G.Nadorm, I. Fekkete, D. Gera, T. Dokken, V. Skytt, R, Lindenbergh, B. Sirmacek, J.s Populus, and T. Bajjouk
    Publisher: IMATI Institute for applied mathematics and information technologies, Funding body: EU FP7-ICT-2011-318787, Access >>
    2016
    Google Scholar

    Awards and Recognition


    * The EU commission Copernicus Masters B2B challenge winner of 2017 the winner page

    * The EU commission Copernicus Masters DLR Environment, Health and Energy Challenge finalist of 2016 create4D's page

    * IEEE Geoscience and Remote Sensing Society 2014 Best Reviewer Award view

    * Journal of Applied Remote Sensing, Certificate of appreciation for outstanding reviewer view

    * Outstanding peer review performance recognition from MDPI Journals for reviewing the journals of Remote Sensing, Sensors, ISPRS International Journal of GeoInformation in the period of 2015-2017 view