Patents by Inventor Sanjutha Indrajit

Sanjutha Indrajit has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System for producing satellite imagery with high-frequency revisits using deep learning to monitor vegetation
    Patent number: 12039452
    Abstract: A system and method for processing satellite imagery with high-frequency revisit to monitor vegetation using a deep learning model 108 is provided. The system includes one or more satellites 102A-C, a vegetation monitoring server 106. The server receives a first set of satellite images and a second set of satellite images from one or more satellites 102A-B. The vegetation monitoring server 106 adjusts the first set of satellite images according to a spectral band of the second set of satellite images using pre-processing techniques. The deep learning model 108 generates a reconstructed image from a cloudy image of the first set of satellite images by replacing the cloudy and shadow pixels with the same pixels of the same image in third set of satellite images obtained from the satellite 102C. The vegetation monitoring server 106 generates observation data from the reconstructed image to provide vegetation monitoring to a geographical area.
    Type: Grant
    Filed: November 18, 2021
    Date of Patent: July 16, 2024
    Assignee: SATSURE ANALYTICS INDIA PRIVATE LIMITED
    Inventors: Prateep Basu, Rashmit Singh Sukhmani, Sanjutha Indrajit
  • SYSTEM AND METHOD FOR GENERATING SOIL MOISTURE DATA FROM SATELLITE IMAGERY USING DEEP LEARNING MODEL
    Publication number: 20230064454
    Abstract: A system and method for generating soil moisture data from satellite images of a geographical area using a deep learning model 108 is provided. The system includes one or more satellites 102A-C, a soil moisture data generator server 106.
    Type: Application
    Filed: August 31, 2022
    Publication date: March 2, 2023
    Inventors: Catherin R Sebastian, Sanjutha Indrajit, Pradeep Kumar Bisen
  • SYSTEM FOR PRODUCING SATELLITE IMAGERY WITH HIGH-FREQUENCY REVISITS USING DEEP LEARNING TO MONITOR VEGETATION
    Publication number: 20220156492
    Abstract: A system and method for processing satellite imagery with high-frequency revisit to monitor vegetation using a deep learning model 108 is provided. The system includes one or more satellites 102A-C, a vegetation monitoring server 106. The server receives a first set of satellite images and a second set of satellite images from one or more satellites 102A-B. The vegetation monitoring server 106 adjusts the first set of satellite images according to a spectral band of the second set of satellite images using pre-processing techniques. The deep learning model 108 generates a reconstructed image from a cloudy image of the first set of satellite images by replacing the cloudy and shadow pixels with the same pixels of the same image in third set of satellite images obtained from the satellite 102C. The vegetation monitoring server 106 generates observation data from the reconstructed image to provide vegetation monitoring to a geographical area.
    Type: Application
    Filed: November 18, 2021
    Publication date: May 19, 2022
    Inventors: Prateep Basu, Rashmit Singh Sukhmani, Sanjutha Indrajit