Publications

Google Scholar publication statistics

2024

Journal publications

• V. C. Gogineni, K. Müller, M. Orlandić and S. Werner, “Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection,” in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2024.3355471.

2023

Journal publications

• D. D. Langer, M. Orlandić, S. Bakken, R. Birkeland, J. L. Garrett, T. A. Johansen, A. J. Sørensen, Robust and Reconfigurable On-Board Processing for a Hyperspectral Imaging Small Satellite, Remote Sensing, Vol. 15, Article 3756, 2023
• T. Bolstad, L. Lundheim, M. Orlandic, A. Strømberg, P. Hardeberg Zimmermann, Do Students Reflect on Sustainability? Student Development of Competencies for Sustainability in Project-Based Learning, Nordic Journal of STEM Education, 2023
• S. Bakken, M. B. Henriksen, R. Birkeland, D. D. Langer, A. Oudijk, S. Berg, F. Gran-Jansen, Y. Pursley, J. Garrett, E. Honoré-Livermore, M. E. Grøtte, B. A. Kristiansen, M. Orlandić, A. J. Sørensen, F. Sigernes, G. Johnsen, T. A. Johansen, HYPSO-1 CubeSat: First Images and In-Orbit Results, Remote Sensing, 2023

Conference publications

• E. R. Jellum, S. Lin, P. Donovan, E. Soyer, F. Shakir, T. Bryne, M. Orlandić, M. Lohstroh and E. Lee, Beyond the threaded programming model on real-time operating systems, NG-RES workshop, Toulouse, France, 2023
• K. Müller, V. C. Gogineni, M. Orlandic, S. Werner, Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing, Eusipco 2023, Helsinki, Finland, 2023
• E. Jellum, Y. Umuruglu, M. Orlandic, M. Schoeberl, FPGA-tidbits: Rapid Prototyping of FPGA Accelerators in Chisel, DSD 2023, Durres, Albania, 2023
• Y. E. Koc, C. Penne, J. Garrett and M. Orlandic, Exploration of Deep Learning for Cloud Segmentation in Multispectral and Hyperspectral Satellite Imagery, WHISPERS, Athens, 2023
• C. Chiatante, D. D. Langer, J. L. Garrett, R. Birkeland, S. Berg and M. Orlandic, Onboard Hyperspectral Classification enables georeferencing, WHISPERS, Athens, 2023
• A. Gundersen, S. Boyle and M. Orlandić, An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images, WHISPERS, Athens, 2023
• C. Penne, J. Garrett, T. A. Johansen, M. Orlandić and R. Heggebø, Independent component Analysis: A Tool for Algal Bloom Detection, WHISPERS, Athens, 2023
• J. Røysland, D. Langer, S. Berg, M. Orlandić and Joseph Garrett, Hyperspectral classification onboard the HYPSO-1 cubesat, WHISPERS, Athens, 2023
• S.Boyle, A. Gundersen and M. Orlandić, High-level FPGA design of Deep Learning Hyperspectral Anomaly Detection, Norcas, Aalborg, 2023

2022

Journal publications

• E. R. Jellum, M. Orlandic, E. F. Brekke, T. A. Johansen, T. H. Bryne, Solving Sparse Assignment Problems on FPGAs, ACM Transactions on Architecture and Code Optimization (ACM TACO), 2022

Conference publications

• S. Bakken, R. Birkeland, J. L. Garrett, P. A. R. Marton, M. Orlandić, E. Honore-Livermore, D. D. Langer, C. Haskins, T. A. Johansen, Testing of Software-Intensive Hyperspectral Imaging Payload for the HYPSO-1 CubeSat, IEEE/SICE International Symposium on System Integration (SII), 2022
• S. Bakken, E. Honore-Livermore, R. Birkeland, M Orlandić, E. F. Prentice, J. L. Garrett, D. D. Langer, C. Haskins, T. A. Johansen, Software Development and Integration of a Hyperspectral Imaging Payload for HYPSO-1, IEEE/SICE International Symposium on System Integration (SII), 2022
• E. R. Jellum, T. H. Bryne, T. A. Johansen, M. Orlandić, The Syncline Model - Analyzing the Impact of Time Synchronization in Sensor Fusion, 6th IEEE Conference on Control Technology and Applications, 2022
• S. Bakken, A. Danielsen, K. Døsvik, J. Garrett, M. Orlandić, D. Langer, T, A. Johansen, A modular hyperspectral image processing pipeline for CubeSats, 12th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, 2022
• R. Birkeland, S. Berg, M. Orlandic and J. Garrett, On-board characterization of Hyperspectral image Exposure and Cloud coverage by the compression ratio, 12th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, 2022
• J. A. Justo, D. Lupu, M. Orlandić, I. Necoara, T. A. Johansen, A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction, IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece
• J. A. Justo and M. Orlandić, Study of the gOMP Algorithm for Recovery of Compressed Hyperspectral Images, 12th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, 2022

2021

Journal publications

• K. Avagian, M. Orlandić. An Efficient FPGA Implementation of Richardson–Lucy Deconvolution Algorithm for Hyperspectral Images. Electronics 2021, 10, 504. https://doi.org/10.3390/electronics10040504
• M. E. Grøtte, R. Birkeland, E. Honoré-Livermore, S. Bakken, J. L. Garrett, E. F. Prentice, F. Sigernes, M. Orlandić, J. T. Gravdahl, T. A. Johansen, Ocean Color Hyperspectral Remote Sensing with High Resolution and Low Latency - the HYPSO-1 CubeSat Mission [link, full text], IEEE Trans. Geoscience and Remote Sensing, 2021
• B. Raeissi, M. Bashir, J. L. Garrett, M. Orlandic, T. A. Johansen, T. Skramstad, Detection of different chemical binders in coatings using commercial hyperspectral imaging, J. Coatings Technology and Research, 2021

Conference publications

• T. Bolstad, L. Lundheim, A. Strømberg, M. Orlandic, P. H. Zimmermann, Sustainability in project-based learning: Project themes and self-perceived competencies, Nordic Journal of STEM Education, Vol. 5 No. 1 (2021): Vol. 5, No. 1, MNT konferansen 2021
• D. Barahona, M. Thiab, I. Díaz, J. Urdahl, M. Orlandic, “Improving Software Testing Speed by 100X with System C Virtualization in IoT Devices”, DVCon U.S., Virtual, 2021
• J. Garrett, S. Bakken, E. Prentice, D. Langer, F. Leira, E. Honoré-Livermore, R. Birkeland, M. Grøtte, T. A. Johansen, M. Orlandić, Hyperspectral Image Processing Pipelines on Multiple Platforms for Coordinated Oceanographic Observation, 11th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021
• J. Garrett, M. Bashir, T. A. Johansen, M. Orlandić, B. Raeissi, Detecting Pinholes in Coatings with Hyperspectral Imaging, 11th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021

2020

Journal publications

• M. Ismail, M. Orlandić. Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures, Algorithms 2020, 13, 330.
• Đ. Bošković, M. Orlandić, and T. A. Johansen. A reconfigurable multi-mode implementation of hyperspectral target detection algorithms Microprocessors and Microsystems 78 (2020): 103258.

Conference publications

• J. Á. Justo, E. Eide and M. Orlandić, Compressive Sensing on Three Dimensional SFCW Ground-Penetrating Radar 2020 9th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 2020, pp. 1-6, doi: 10.1109/MECO49872.2020.9134267.

2019

Journal publications

• M. Orlandić, J. Fjeldtvedt, and T. A. Johansen. A parallel FPGA implementation of the CCSDS-123 compression algorithm. Remote Sensing 11, no. 6 (2019): 673.

• M. Orlandić, and K. Svarstad. An adaptive high-throughput edge detection filtering system using dynamic partial reconfiguration., Journal of Real-Time Image Processing 16, no. 6 (2019): 2409-2424.

Conference publications

• S. Bakken, M. Orlandic, T. A. Johansen, The effect of dimensionality reduction on signature-based target detection for hyperspectral remote sensing, SPIE Optical Engineering + Applications Conference, CubeSats and SmallSats for Remote Sensing III, San Diego, 2019; http://dx.doi.org/10.1117/12.2529141

• K. Avagian, M. Orlandić, and T. A. Johansen. An FPGA-oriented HW/SW Codesign of Lucy-Richardson Deconvolution Algorithm for Hyperspectral Images In 2019 8th Mediterranean Conference on Embedded Computing (MECO), pp. 1-6. IEEE, 2019.

• D. Bošković, M. Orlandić, S. Bakken and T. A. Johansen, HW/SW Implementation of Hyperspectral Target Detection Algorithm, 8th Mediterranean Conference on Embedded Computing – MECO, Montenegro, 2019

2018

Journal publications

• J. Fjeldtvedt, and M. Orlandić. CubeDMA–Optimizing three-dimensional DMA transfers for hyperspectral imaging applications.Microprocessors and Microsystems 65 (2019): 23-36.

• J. Fjeldtvedt, M. Orlandić, and T. A. Johansen. An efficient real-time FPGA implementation of the CCSDS-123 compression standard for hyperspectral images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11, no. 10 (2018): 3841-3852.

2014 - 2017

Journal publications

• M.Orlandić, K. Svarstad, An Efficient Hardware Architecture of CAVLC Encoder Based on Stream Processing, Elsevier Microprocessors and Microsystems, vol.67, 43-47, September 2017

• M. Orlandić, K. Svarstad,A Low-Complexity MPEG-2 to H.264/AVC Wavefront Intra-Frame Transcoder Architecture, Springer Journal on Real Time Image Processing, May 2016

• M. Orlandić, K. Svarstad, An MPEG-2 to H.264/AVC Intra-frame Transcoder Architecture with Mode Decision performed in DCT domain, IEEE Transactions on Consumers Electronics 61(1), 81-89, 2015

• I. Orović, M. Orlandić, and S. Stanković. An image watermarking based on the pdf modeling and quantization effects in the wavelet domain Multimedia tools and applications 70, no. 3 (2014): 1503-1519.

• M. Orlandić, K. Svarstad, A High-Throughput and Low-Complexity H.264/AVC Intra 16x16 Prediction Architecture for HD video sequences, Telfor Journal, 6(2), 2014

2009 - 2013

Journal publications

• I. Orović, M. Orlandic, S. Stankovic, and Z. Uskokovic. A virtual instrument for time-frequency analysis of signals with highly nonstationary instantaneous frequency IEEE transactions on Instrumentation and Measurement 60, no. 3 (2010): 791-803.

• S. M. Perovich, M. Orlandić, M. Ćalasan, “Concerning exact analytical STFT solutions to some families of inverse problems in engineering material theory,” Applied Mathematical Modelling, 2013

Conference publications

• M. Orlandić, and K. Svarstad. “An area-efficient hardware architecture design for H. 264/AVC intra prediction reconstruction path based on partial reconfiguration.” In 2013 IEEE 16th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), pp. 86-91. IEEE, 2013.

• M. Orlandić, and K. Svarstad. “A low complexity H. 264/AVC 4× 4 intra prediction architecture with macroblock/block reordering.” In 2013 International Conference on Reconfigurable Computing and FPGAs (ReConFig), pp. 1-6. IEEE, 2013.

• M. Orlandić, and K. Svarstad. “A high-throughput and low-complexity H. 264/AVC intra 16× 16 prediction architecture for HD video sequences.” In 2013 21st Telecommunications Forum Telfor (TELFOR), pp. 529-532. IEEE, 2013.

• M. Orlandić, K. Svarstad, “Ambient hardware and the case for transcoding media streams”, Field Programmable Logic (FPL), Oslo, 2012

• I. Orović, N. Žarić, M. Orlandić, and S. Stanković. “A virtual instrument for highly concentrated time-frequency distributions.” In International Conference ETAI 2009. 2009.

• M. Orlandić, I. Orović, S. Stanković, “An image watermarking technique with optimal detection in the wavelet transform domain”, ETRAN, Vrnjacka Banja, Serbia June 2009

• S.M. Perovich, M. Orlandic, R. Toskovic, “On the exact analytical closed form solution of the Saho ionization inverse equation”, VI International Seminar on mathematical models and modelling in Laser - Plasma Processes 2009, Budva, Montenegro, May 2009

Statistics

Year	2010-2018	2019	2020	2021	2022	2023	2024	Total
Journal publications	9	2	2	3	1	3	1	21
Conference publications	7	3	1	4	7	9	0	31