Indian Institute of Technology Bombay-ko ikertzaileekin lankidetzan egindako argitalpenak (13)

2023

  1. Deep Forest Based Paddy Phenology Mapping Using Dual-Pol SAR Data

    2023 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2023

  2. Polarimetric SAR Descriptors for Rice Monitoring

    Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (CRC Press), pp. 147-168

2022

  1. A processing chain for estimating crop biophysical parameters using temporal Sentinel-1 synthetic aperture radar data in cloud computing framework

    Radar Remote Sensing: Applications and Challenges (Elsevier), pp. 309-325

2021

  1. Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 178, pp. 20-35

  2. Rice phenology mapping using novel target characterization parameters from polarimetric SAR data

    International Journal of Remote Sensing, Vol. 42, Núm. 14, pp. 5519-5543

  3. Synergistic use of TanDEM-X and landsat-8 data for crop-type classification and monitoring

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, pp. 8744-8760

2020

  1. Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data

    Remote Sensing of Environment, Vol. 237

  2. Crop biophysical parameter retrieval from Sentinel-1 SAR data with a multi-target inversion of Water Cloud Model

    International Journal of Remote Sensing, Vol. 41, Núm. 14, pp. 5503-5524

  3. Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data

    Remote Sensing of Environment, Vol. 247

  4. Novel clustering schemes for full and compact polarimetric SAR data: An application for rice phenology characterization

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 169, pp. 135-151

  5. Vegetation Monitoring Using a New Dual-Pol Radar Vegetation Index: A Preliminary Study with Simulated NASA-ISRO SAR (NISAR) L-Band Data

    International Geoscience and Remote Sensing Symposium (IGARSS)

2019

  1. Crop phenology classification using a representation learning network from sentinel-1 SAR data

    International Geoscience and Remote Sensing Symposium (IGARSS)

2018

  1. A Novel Phenology Based Feature Subset Selection Technique Using Random Forest for Multitemporal PolSAR Crop Classification

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, Núm. 11, pp. 4244-4258