Polarization-based detection and mapping method and system
A method for detecting and tracking aerial objects and vehicles comprises recording raw image data using a polarimeter to obtain polarized images of the sky. The images are then corrected for non-uniformity, optical distortion, and registration. IR and polarization data products are computed, and the resultant data products are converted to a multi-dimensional data set for exploitation. Contrast enhancement algorithms are applied to the multi-dimensional imagery to form enhanced object images. The enhanced object images may then be displayed to a user, and/or an annunciator may announce the presence of an object.
1. A method of detecting an aerial object, the method comprising:
recording raw image data of an area using a polarimeter to obtain polarized images of the area;
calculating Stokes parameters S 0 , S 1 , and S 2 from the polarized images to create Stokes images by weighted subtraction of the polarized images;
computing Degree of Linear Polarization (DoLP) images and orientation images from the Stokes images;
creating multi-dimensional imagery using one or more of: the polarized images, the Stokes parameters, the DoLP images and the orientation images;
applying contrast enhancement algorithms to the multi-dimensional imagery to form enhanced object images;
automatically detecting the aerial object from the enhanced object images.
2. The method of claim 1 where the polarimeter is a division of focal plane polarimeter.
3. The method of claim 1 where the polarimeter is a rotating polarimeter.
4. The method of claim 3 , wherein the step of recording raw image data of an area using a polarimeter to obtain polarized images of the area comprises rotating the polarizer at a spin rate while taking images at 0°, 45°,90°, and 135°.
5. The method of claim 4 where the spin rate is within the range of 6 degrees per second to 6500 degrees per second.
6. The method of claim 1 , further comprising automatically tracking the aerial object.
7. The method of claim 1 , further comprising displaying the enhanced object images to a user.
8. The method of claim 1 , further comprising annunciating detected objects to a user.
9. The method of claim 1 , further comprising performing corrections on the polarized images correcting the polarized images for non-uniformity.
10. The method of claim 9 , wherein the step of performing corrections on the polarized images further comprises performing optical distortion and registration corrections.
11. The method of claim 1 , wherein the area comprises the sky.
12. The method of claim 1 , wherein the step of recording raw image data of an area using a polarimeter to obtain polarized images of the area is performed from an aerial vehicle.
13. A method for detecting the presence of aerial objects, the method comprising:
recording raw image data of an area with a polarimeter to obtain polarized images of the area;
performing corrections on the polarized images to form corrected images;
computing non-polarized intensity and polarization data products from the corrected images;
converting the intensity and polarization data products to a multi-dimensional data set to form multi-dimensional imagery;
applying contrast enhancement algorithms to multi-dimensional imagery to form enhanced object images;
recording in memory the location of objects detected from the enhanced object images;
classifying detected objects based upon one or more of: their temporal, spatial, infrared (IR), intensity, or polarimetric signatures, wherein multiple objects may be independently classified into separate groups or sub-groups based upon one or more of: their temporal, spatial, IR, intensity, or polarimetric signatures.
14. The method of claim 13 , wherein the step of recording raw image data of the area using a polarimeter is not dependent upon the brightness of available light.
15. A system for detecting an aerial object, the system comprising:
a polarimeter configured to record raw image data of an area to obtain polarized images of the area;
a signal processing unit configured to calculate Stokes parameters S 0 , S 1 , and S 2 from the polarized images to create Stokes images by weighted subtraction of the polarized images, the signal processing unit further configured to compute Degree of Linear Polarization (DoLP) images and orientation images from the Stokes images, the signal processing unit further configured to create multi-dimensional imagery using one or more of: the polarized images, the Stokes parameters, the DoLP images and the orientation images, the signal processing unit further configured to apply contrast enhancement algorithms to the multi-dimensional imagery to form enhanced object images, the signal processing unit further configured to automatically detect the aerial object from the enhanced object images.
16. The system of claim 15 where the polarimeter is a division of focal plane polarimeter.
17. The system of claim 15 where the polarimeter is a rotating polarimeter.
18. The system of claim 17 , where the polarimeter rotates at a spin rate while taking images at 0°, 45°, 90°, and 135°.
19. The system of claim 18 where the spin rate is within the range of 6 degrees per second to 6500 degrees per second.
20. The system of claim 19 , where the spin rate is substantially 2700 degrees per second.