Resolving Lambertian surface orientation from fluctuating radiance
A maximum likelihood method for estimating remote surface orientation from multi-static acoustic, optical, radar, or laser images is presented. It is assumed that the images are corrupted by signal-dependent noise, known as speckle, arising from complex Gaussian field fluctuations, and that the surf...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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American Institute of Physics
2014
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| Online Access: | http://hdl.handle.net/1721.1/87627 https://orcid.org/0000-0003-4369-296X |
| _version_ | 1826209120699547648 |
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| author | Makris, Nicholas Bertsatos, Ioannis |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Makris, Nicholas Bertsatos, Ioannis |
| author_sort | Makris, Nicholas |
| collection | MIT |
| description | A maximum likelihood method for estimating remote surface orientation from multi-static acoustic, optical, radar, or laser images is presented. It is assumed that the images are corrupted by signal-dependent noise, known as speckle, arising from complex Gaussian field fluctuations, and that the surface properties are effectively Lambertian. Surface orientation estimates for a single sample are shown to have biases and errors that vary dramatically depending on illumination direction. This is due to the signal-dependent nature of specklenoise and the nonlinear relationship between surface orientation, illumination direction, and fluctuating radiance. The minimum number of independent samples necessary for maximum likelihood estimates to become asymptotically unbiased and to attain the lower bound on resolution of classical estimation theory are derived, as are practical design thresholds. |
| first_indexed | 2024-09-23T14:17:34Z |
| format | Article |
| id | mit-1721.1/87627 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:17:34Z |
| publishDate | 2014 |
| publisher | American Institute of Physics |
| record_format | dspace |
| spelling | mit-1721.1/876272022-10-01T20:23:06Z Resolving Lambertian surface orientation from fluctuating radiance Makris, Nicholas Bertsatos, Ioannis Massachusetts Institute of Technology. Department of Mechanical Engineering Makris, Nicholas C. Makris, Nicholas Bertsatos, Ioannis A maximum likelihood method for estimating remote surface orientation from multi-static acoustic, optical, radar, or laser images is presented. It is assumed that the images are corrupted by signal-dependent noise, known as speckle, arising from complex Gaussian field fluctuations, and that the surface properties are effectively Lambertian. Surface orientation estimates for a single sample are shown to have biases and errors that vary dramatically depending on illumination direction. This is due to the signal-dependent nature of specklenoise and the nonlinear relationship between surface orientation, illumination direction, and fluctuating radiance. The minimum number of independent samples necessary for maximum likelihood estimates to become asymptotically unbiased and to attain the lower bound on resolution of classical estimation theory are derived, as are practical design thresholds. 2014-06-04T16:36:08Z 2014-06-04T16:36:08Z 2011-03 2011-09 Article http://purl.org/eprint/type/JournalArticle 00014966 http://hdl.handle.net/1721.1/87627 Makris, Nicholas C., and Ioannis Bertsatos. “Resolving Lambertian Surface Orientation from Fluctuating Radiance.” The Journal of the Acoustical Society of America 130, no. 3 (2011): 1222. © 2011 American Institute of Physics. https://orcid.org/0000-0003-4369-296X en_US http://dx.doi.org/10.1121/1.3570949 Journal of the Acoustical Society of America Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Institute of Physics Prof. Makris via Angie Locknar |
| spellingShingle | Makris, Nicholas Bertsatos, Ioannis Resolving Lambertian surface orientation from fluctuating radiance |
| title | Resolving Lambertian surface orientation from fluctuating radiance |
| title_full | Resolving Lambertian surface orientation from fluctuating radiance |
| title_fullStr | Resolving Lambertian surface orientation from fluctuating radiance |
| title_full_unstemmed | Resolving Lambertian surface orientation from fluctuating radiance |
| title_short | Resolving Lambertian surface orientation from fluctuating radiance |
| title_sort | resolving lambertian surface orientation from fluctuating radiance |
| url | http://hdl.handle.net/1721.1/87627 https://orcid.org/0000-0003-4369-296X |
| work_keys_str_mv | AT makrisnicholas resolvinglambertiansurfaceorientationfromfluctuatingradiance AT bertsatosioannis resolvinglambertiansurfaceorientationfromfluctuatingradiance |