Extending K-Means to Preserve Spatial Connectivity. - Sampriti Soor; Aditya Challa; Sravan Danda; B. S. Daya Sagar; Laurent Najman (IGARSS, 2018)

Iterated Watersheds, A Connected Variation of K-Means for Clustering GIS Data. - Sampriti Soor; Aditya Challa; Sravan Danda; B. S. Daya Sagar; Laurent Najman (IEEE Trans. Emerg. Top. Comput., 2021)

Segmentation of Multi-Band Images Using Watershed Arcs. - Sampriti Soor; B. S. Daya Sagar (IEEE Signal Process. Lett., 2022)

A Fully-Automated Framework for Mineral Identification on Martian Surface Using Supervised Learning Models. - Priyanka Kumari; Sampriti Soor; Amba Shetty; Shashidhar G. Koolagudi (IEEE Access, 2023)

Enhancing Martian Mineral Identification Using an Artificial Neural Network With Extracted Spectral Features In CRISM MTRDR Data. - Priyanka Kumari; Sampriti Soor; Amba Shetty; B. S. Daya Sagar (IGARSS, 2024)

Weighted Sum of Segmented Correlation: an Efficient Method for Spectra Matching in Hyperspectral Images. - Sampriti Soor; Priyanka Kumari; B. S. Daya Sagar; Amba Shetty (IGARSS, 2024)

Iterative Watershed Partition: An Efficient Method for Hierarchical River-Basin Extraction on Digital Elevation Models. - Sampriti Soor; B. S. Daya Sagar (IGARSS, 2024)

A UNet Model for Accelerated Preprocessing of CRISM Hyperspectral Data for Mineral Identification on Mars. - Priyanka Kumari; Sampriti Soor; Amba Shetty; Archana M. Nair (CoRR, 2025)