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    Basic Information

Technology developed: Characterizing and predicting the movement of clouds using fractional-order optical flow (TP19762734862)
Category: Product(Hardware/Material/Software)
Details of Inventor(s):
Inventor Institution/Organization/Company Department Designation
Sanjeev Kumar Indian Institute of Techonology Roorkee Mathematics Associate Professor
Technical Application Area: Select One...
If 'Other', please specify:
Please give more details of new technical application area:
We developed an algorithm in which optical flow is used here for motion estimation which gives horizontal and vertical velocity components. We utilize the optical flow to localize the high alert regions. To have a better localization and motion signatures, we develop a fractional order technique to compute optical flow. Also, the localization is characterized by brightness of image, magnitude, directions, vorticity and irrotational components of the optical flow. Visual features show different patterns for extreme and normal weather situations. A study on interpolation and extrapolation of the image sequence is also presented. Optical flow based interpolation and Advection-anisotropic-diffusion based extrapolation model give promising results on the satellite imagery data suggested by the funding agency ISRO. We observe that images captured by satellite INSAT 3D were acquired at large amount of time interval. For better accuracy of weather prediction and analysing the pattern of cloud motion, it is necessary to acquire image in between the given time frame. Interpolation of satellite images in space and time was carried out by a particle tracking technique. Application of this technique was to estimate a continuous distribution of a satellite derived water property in Lake Superior chlorophyll measurements. Optical-flow-based temporal interpolation was employed. The proposed technique can be embedded with the current weather forecasting system. The stand alone software is handed over to ISRO, and a team of SAC Ahmedabad is working to deploy this technique in their system.
Organization(s):
Indian Institute of Technology (IIT) Roorkee
Affiliated Ministry: ISRO, Govt. of India
Type of technology development: Indigenous
Does the technology help in replacing any import items currently
procured from outside India?
Yes
Does the technology have export potential? No
Category of Technology developed: Futuristic
Stage of Development: Lab-scale
Please describe in detail including the TRL Level:
Lab scale

    Abstract:

Applications: Weather Forecasting in case of extreme events using Satellite Imagery
Advantages: The proposed technology helps in order to have more accurate and fast prediction of extreme weather events after embedding with current system

    Technology Inputs:

Imported Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Imported Raw Materials:
Raw Materials Year ITC-HS Code
NA
Indigenous Raw Materials:
Raw Materials Year ITC-HS Code
NA
Existing R&D Facilities used:
Facilities Year ITC-HS Code
NA

   Patents & Publications:

Patents:
Filed Patents (No.) Granted Patents (No.) Year
0 0 NA
Publications:
Submitted (No.) Published (No.) Year
0 2 2019-20

    Commercialization Potential:

Who are the Potential Licensees? ISRO
What commercially available products address
the same problem?
Company Product Problem Addressed
Would you like to develop this invention further with
corporate research support?
Yes
Would you be interested in participating in cluster based
programs for commercialization research or business
planning for your invention?
No
      Submitted by: Sai Ramudu Meka Date of Submission: 6-8-2020



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