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Method of selecting an algorithm for use in processing hyperspectral data
US8989501B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8989501-B2 |
| Application number | US-201213588579-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 17, 2012 |
| Priority date | Aug 17, 2012 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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- Title
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Abstract
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The invention relates to a method of selecting an algorithm for use in processing hyperspectral data from a set of algorithms, each having qualities for processing certain characteristics of hyperspectral data.
First claim
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The invention claimed is: 1. A method of selecting an algorithm for use in processing hyperspectral data comprising: providing a set of algorithms, each having qualities for processing certain characteristics of hyperspectral data, and including at least Spectral Information Divergence (SID), Spectral Angle Mapping (SAM), Zero Mean Differential Area (ZMDA), Mahalanobis Distance, and Bhattacharyya Distance; accessing frame characteristics of the hyperspectral data; selecting at least one characteristic of the hyperspectral data; establishing a tolerance for variations in the at least one characteristic from a reference sample of the at least one characteristic; comparing the at least one characteristic in the hyperspectral data to the tolerance; and if the at least one characteristic exceeds the tolerance, selecting an algorithm from the set best associated with the at least one characteristic to process the hyperspectral data. 2. The method of claim 1 where the frame characteristics of hyperspectral data include the variability of the illumination of hyperspectral data, the variability of pixels with similar signatures of hyperspectral data. 3. The method of claim 1 including the step of selecting at least two characteristics and if the at least one characteristic does not exceed the tolerance, selecting an algorithm from the set best associated the second characteristic to process the hyperspectral data.
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using selection of the recognition techniques, e.g. of a classifier in a multiple classifier system · CPC title
- G06F18/285Primary
Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system · CPC title
- G06T7/20Primary
Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title
Probabilistic image processing · CPC title
Physics · mapped topic
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- What does patent US8989501B2 cover?
- The invention relates to a method of selecting an algorithm for use in processing hyperspectral data from a set of algorithms, each having qualities for processing certain characteristics of hyperspectral data.
- Who is the assignee on this patent?
- Buehler Eric Daniel, Occhipinti Benjamin Thomas, Kuczynski Konrad Robert, and 2 more
- What technology area does this patent fall under?
- Primary CPC classification G06F18/285. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 24 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).