Motion based adaptive rendering
US-2015379727-A1 · Dec 31, 2015 · US
US9123134B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9123134-B2 |
| Application number | US-201414196607-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 4, 2014 |
| Priority date | Mar 13, 2013 |
| Publication date | Sep 1, 2015 |
| Grant date | Sep 1, 2015 |
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A near-real-time tracking and integrated forecasting of marine ice bodies observable on satellite imagery.
Opening claim text (preview).
The invention claimed is: 1. A method for tracking and forecasting a marine ice body comprising: a. capturing an image and metocean data of an area of interest with a synthetic aperture radar (SAR), wherein the image includes a plurality of pixels; b. detecting any marine ice bodies in the area of interest with the synthetic aperture radar (SAR); c. classifying the plurality of pixels in the image to define a shape and position of the marine ice body; d. repeating steps (a)-(c) at least once to obtain an additional image; e. comparing sequential images, wherein a background trend for motion between images and a shape characteristic are utilized to compare the sequential images, wherein the background trend is determined by establishing a correlation between the sequential images, wherein an ITSARI algorithm is utilized to determine the shape characteristic of the marine ice body; f. solving a trajectory of each ice floe beyond its current position, wherein the metocean data is utilized to solve the trajectory for each of the marine ice bodies beyond its current position; and g. updating Gaussian uncertainty parameters with cumulative observations of error from incoming SAR to provide a cone of uncertainty for the forecasted trajectory. 2. A method for tracking and forecasting a marine ice body comprising: a. capturing an image and metocean data of an area of interest with any type of satellite imagery, wherein the image includes a plurality of pixels; b. detecting any marine ice bodies in the area of interest with the satellite imagery; c. classifying the plurality of pixels in the image to define a shape and position of the marine ice body; d. repeating steps (a)-(c) at least once to obtain an additional image; e. comparing sequential images, wherein a background trend for motion between images and a shape characteristic are utilized to compare the sequential images, wherein the background trend is determined by establishing a correlation between the sequential images, wherein a tracking algorithm is utilized to determine the shape characteristic; f. solving a trajectory of each marine ice body beyond its current position, wherein the metocean data is utilized to solve the trajectory for each marine ice body beyond its current position; and g. applying an uncertainty model for uncertainty in the trajectory forecast. 3. The method according to claim 2 , wherein the satellite imagery is synthetic aperture radar (SAR). 4. The method according to claim 2 , wherein the satellite imagery is optical imagery. 5. The method according to claim 2 , wherein the tracking algorithm is the ITSARI algorithm. 6. The method according to claim 2 , wherein a Gaussian model for uncertainty of the forecast is incorporated through cumulative observations of error from incoming satellite imagery to provide a cone of uncertainty for the forecasted trajectory.
Satellite images · CPC title
Earth observation · CPC title
Meteorology · CPC title
Physics · mapped topic
Physics · mapped topic
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