Publications

Conferences -

1.   Jit Mukherjee, Jayanta Mukherjee and Pabitra Mitra. “A Survey on Image Retrieval Performance of Different Bag of Visual Words Indexing Techniques” in TechSym 2014 (awarded best paper).

2.   Jit Mukherjee, Shashaank M. Aswatha, Prasenijit Mondal, Jayanta Mukhopadhyay and Pabitra Mitra. “Duplicate Detection for Image Sharing Systems” in Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2014).

3.   Sumit Mishra, Jit Mukherjee, Prasenjit Mondal, Shashaank M. Aswatha, and Jayanta Mukherjee. “Real-time Retrieval System for Heritage Images” in International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, 2012.

4.   Gazal Garg, Prasenjit Mondal, Shashaank M. Aswatha, Jit Mukherjee, Tapas Maji, and Jayanta Mukherjee. “VIMARSHAK - A Web Based Subjective Image Evaluation System” in 5th International Conference on Pattern Recognition and Machine Intelligence (ICSIP 2014).

Book Chapters -

1.   Dipannita Podder, Jit Mukherjee, Shashaank M. Aswatha, Jayanta Mukherjee and Shamik Sural. “Ontology-Driven Content-Based Retrieval of Heritage Images” in Heritage Preservation, Springer, pp-143–160, 2018.

Patents - 

1. Shashaank. M. Aswatha, Ananth Nath Talla, Jit Mukherjee, Jayanta Mukhopadhyay, Partha Bhowmick. “System and Method for converting Substrate Inscription into Electronically Editable Format.” Reference no. ref.452/KOL/2014, 2014 (Submitted, In Progress).

Journals -

1. Jit Mukherjee, Jayanta Mukhopadhyay, Debashish Chakravarty, and Subhash Aikat. “A Novel Index to Detect Opencast Coal Mine Areas From Landsat 8 OLI/TIRS” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 12(3):891–897, 2019. DOI - 10.1109/JSTARS.2019.2896842.

2. Jit Mukherjee, Jayanta Mukhopadhyay and Debashish Chakravarty. “Automated Seasonal Separation of Mine and Non Mine Water Bodies From Landsat 8 OLI/TIRS Using Clay Mineral and Iron Oxide Ratio” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 12(7):2550–2556, 2019. DOI - 10.1109/JSTARS.2019.2895385.

3. Jit Mukherjee, Jayanta Mukhopadhyay, Debashish Chakravarty, and Subhash Aikat. “Unsupervised Seasonal Detection of Coal Overburden Dump Regions Using Landsat 8 OLI/TIRS Images in Jharia Coal Fields” in Multimedia Tools and Applications, Springer, 1--23, 2021, DOI - 10.1007/s11042-020-10479-3.

4. Swarna Aishwarya Twinkle, Supreeti Kamilya, and Jit Mukherjee. “EchoCNN-Denoiser: A Reservoir Computing Inspired Deep Learning Model For Enhanced SAR Image Despeckling”, Journal of Applied Remote Sensing (JARS), 2025, SPIE, 19(2): 026501–026501.

5. Jit Mukherjee. “Discrimination of River Sandbanks for Sand Mining in High-Mineral Regions using Multispectral Images”, Discover Geoscience, Springer, 3 (1), (2025): 100.

6. Shubham Subhankar Sharma, Jit Mukherjee, Fabio Dell’Acqua. “Leveraging Sentinel-2 Data and Machine Learning for Drought Detection in India: The process of Ground Truth construction, and a Case Study”, Remote Sensing, MDPI, 2025

Journals in Preparation - 

1. Swarna Aishwarya Twinkle, Supreeti Kamilya, and Jit Mukherjee. “NCA-SARD: A Neural Cellular Automata-based SAR-Image Denoiser” Under Revision in PFG.

Conferences - 

1. Purushottam Kumar, Jit Mukherjee, and Richa Singh, “Cross-Referencing Youtube Comments and Multi-spectral Images in Flood-Affected Areas: A Case Study of India and Bangladesh”, IGARSS 2025 (Presented).

2. Fabio Dell’Acqua, and Jit Mukherjee. “Cultivating Insights: Unsupervised Mapping of Inter-row Management in Vineyards Using Bezier Curve Properties on Sentinel-2 Time Series”, EGU General Assembly 2025, Vienna, Austria, EGU25-12158 (Accepted).

3. Jit Mukherjee, and Jean-Baptiste Courbot. “Connecting the Dots: Isolated Trails of Detected Narrow Rivers in Multispectral Images”, In International Conference on Pattern Recognition 2024, pp. 332-345. Springer 2025, Kokata.

4. Jit Mukherjee, and Fabio Dell’Acqua. “Influence of Vegetation Features on Corn Yields Estimation Using Different Machine Learning Techniques: A Case Study”, InGARSS 2024, Goa (Presented).

5. Sarah Rajabzadeh, Jit Mukherjee, and Fabio Dell’Acqua. “Tillage Monitoring: Determining the Optimal Number of Features in Multi-spectral Images: A Case Study in the Indo-Gangetic Plains”, InGARSS 2024, Goa (Presented).

6. Swarna Aiswariya Twinkle, Supreeti Kamilya, and Jit Mukherjee. “Edge Preserving Multiplicative Noise Removal of SAR images through Convolutional Neural Network and Anisotropic Diffusion”, InGARSS 2024, Goa (Presented).

7. Prateek Tewary, Jit Mukherjee. “A Study of Quantifying the Deviation of Remotely Sensed Objects From Multi-Spectral Images”, PReMI 2023, pp-548–556, Springer, ISBN - 978-3-031-45169-0.

8. Jit Mukherjee. “Identifying Rivers with Varying Width Through NDWI from Landsat 8 Images” in IEEE IGARSS 2023, Pasadena, California, USA, pp-3734–3737.

9. Jit Mukherjee. “Are Raw Coals Transported On This Road? A Brief Discussion Using LANDSAT 8 OLI Images” in IEEE IGARSS 2023, Pasadena, California, USA, pp-2938–2941.

10. Jit Mukherjee, Jayanta Mukhopadhyay, and Debashish Chakravarty. “Detection of Coal Quarry and Coal Dump Regions Using the Presence of Mine Water Bodies from Landsat 8 OLI/TIRS Images”, International Conference on Computer Vision & Image Processing, Springer, pp-190–204.

11. Jit Mukherjee, Peeyush Gupta, Harshit Gautam, and Renuka Chintalapati. “Detection of Narrow River Trails with the Presence of Highways from Landsat 8 OLI Images”, International Conference on Computer Vision & Image Processing Springer, pp-659–673.

12. Jit Mukherjee. “A Study on Automated Detection of Surface and Sub-surface Coal Seam Fires using Isolation Forest from Landsat 8 OLI/TIRS Images” in IEEEE IGARSS 2022, Kuala Lumpur, Malaysia, pp-5512–5515.

13. Jit Mukherjee, Jayanta Mukhopadhyay, and Debashish Chakravarty. “A Study on Performance and Applicability of Coal Mine Index in Different Surface Mining Regions” in IEEE IGARSS 2022, Kuala Lumpur, Malaysia, pp-5516–5519.

14. Jit Mukherjee, Jayanta Mukhopadhyay, Debashish Chakravarty, and Subhash Aikat. “A Study of Detecting Coal Seam Fires by Removing Other High Temperature Locations from Lsandsat 8 OLI/TIRS” in IGARSS 2020, Hawai, USA; pp. 4084-4087, doi:10.1109/IGARSS39084.2020.9324622.

15. Rajdeep Mondal, Jit Mukherjee, Jayanta Mukhopadhyay.“Automated Coastline Detection from Landsat 8 OLI/TIRS With the Presence of Inland Water Bodies in Andaman” in IGARSS 2020 Hawai, USA; pp. 57-60, doi: 10.1109/IGARSS39084.2020.9324366.

16. Jit Mukherjee, Jayanta Mukhopadhyay, Debashish Chakravarty, and Subhash Aikat. “Adaptive Seasonal Detection of Mine Water Bodies from Landsat 8 OLI/TIRS” in NCVPRIPG 2019, Springer 2020, pp 480-489.

17. Jit Mukherjee, Jayanta Mukhopadhyay, Debashish Chakravarty, and Subhash Aikat. “Unsupervised Detection of Active, New, and Closed Coal Mines with Reclamation Activity from Landsat 8 OLI/TIRS” in PReMI 2019, Tezpur, pp-397–404.

18. Jit Mukherjee, Jayanta Mukhopadhyay, Debashish Chakravarty and Subhash Aikat. “Automated Seasonal Detection of Coal Surface Mine Regions from Landsat 8 OLI Images” in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, pp-2435–2438.

19. Jit Mukherjee, Jayanta Mukhopadhyay and Debashish Chakravarty. “A Study of Seasonal Separability of Coal Seam Fires from Other High Temperature Locations using Clay Mineral Ratio in Landsat 8 OLI/TIRS” in ISGNS 2018.

20. Jit Mukherjee, Jayanta Mukhopadhyay and Debashish Chakravarty. “Investigation of Seasonal Separation in Mine and Non Mine Water Bodies Using Local Feature Analysis of Landsat 8 OLI/TIRS Images” in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, pp-8961–8964.

21. Jit Mukherjee, Jayanta Mukhopadhyay and Debashish Chakravarty. “Detection of Coal Seam Fires in Summer Seasons from Landsat 8 OLI/TIRS in Dhanbad” in National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2017), pp-529–539.

Book Chapter -

1. Jit Mukherjee. Identifying the Changes of Mine Water Bodies From Landsat 8 OLI Images in Automated

Manner: A Case Study in Jharia, India in Water Informatics: Challenges and Solutions using State of Art

Technologies, Springer. (Accepted).

Conference

• Neha Kumari, Suvendu Kanungo, and Jit Mukherjee. “An Elementary Cellular Automata Based Two-Class Data Imbalance Problem: Initial Study and Observations”, ASCAT 2025, BIT Mesra (Presented).

• Swarna Aishwarya Twinkle, Supreeti Kamilya, and Jit Mukherjee. “Despeckling Images using Elementary Cellular Automata”, ASCAT 2025, BIT Mesra (Presented).

Journal in Preparation

• Neha Kumari, Suvendu Kanungo, and Jit Mukherjee. "Multiclass Imbalance Problem with One-versus-one Decomposition through Cellular Automata" under review in Sadhna.

• Jit Mukherjee, "Evolving Samples: A Game of Life Inspired Approach to Two Class Data Imbalance" under review in Natural Computing.

Journals

• Moumita Roy Chowdhury, Chitra Chatterjee, Dhriti Ghosh, Jit Mukherjee, Shubham Shaw and Jolly Basak “Deciphering miRNA-lncRNA-mRNA interaction through the experimental validation of miRNAs, lncRNAs and miRNA targets on mRNAs in Cajanus cajan” in Plant Biology, 2024 Jun;26(4):560-567 DOI: 10.1111/plb.13639

• Moumita Roy Chowdhury, Mizgin Mehmet, Jit Mukherjee, Anirban Jyoti Debnath, and Katarína Ražná. “Chitosan as an Elicitor in Plant Tissue Cultures: Methodological Challenges.” Molecules, MDPI, 30 (17), (2025): 3476.