Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18386
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dc.contributor.authorJain, Sakshien_US
dc.contributor.authorKhati, Unmeshen_US
dc.date.accessioned2026-05-18T09:56:11Z-
dc.date.available2026-05-18T09:56:11Z-
dc.date.issued2025-
dc.identifier.citationJain, S., Khati, U., Kumar, V., & Bhattacharya, A. (2025). Dual Polarimetric Decomposition for Wheat Monitoring Using C-Band SAR Data. Asian and Pacific Conference on Synthetic Aperture Radar Proceedings, APSAR, (2025). https://doi.org/10.23919/APSAR64635.2025.11392513en_US
dc.identifier.issn2474-2333-
dc.identifier.otherEID(2-s2.0-105037853669)-
dc.identifier.urihttps://dx.doi.org/10.23919/APSAR64635.2025.11392513-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/18386-
dc.description.abstractThe Synthetic Aperture Radar (SAR) time series using Sentinel-1 data has wide applications in crop monitoring. The wheat crop structurally followed a specific phenology, distinguishing it from other similar-looking plants. Polarimetric parameters such as wave entropy, wave anisotropy, and polarimetric decompositions such as Chandrasekhar decomposition using dual-pol data are sensitive to the structural behavior of the target. The time series profile of these parameters for the wheat growth stages is shown in this study. Wave entropy, Wave anisotropy, and Chandrasekhar decomposition parameters range from 0.4 to 0.7,0.5 to 0.8, and 0 to 0.2 respectively. © 2025 IEICE Electronics Society.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceAsian and Pacific Conference on Synthetic Aperture Radar proceedings, APSARen_US
dc.titleDual Polarimetric Decomposition for Wheat Monitoring Using C-Band SAR Dataen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Astronomy, Astrophysics and Space Engineering

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