IN2014KN02615A - - Google Patents
Info
- Publication number
- IN2014KN02615A IN2014KN02615A IN2615KON2014A IN2014KN02615A IN 2014KN02615 A IN2014KN02615 A IN 2014KN02615A IN 2615KON2014 A IN2615KON2014 A IN 2615KON2014A IN 2014KN02615 A IN2014KN02615 A IN 2014KN02615A
- Authority
- IN
- India
- Prior art keywords
- datacube
- residual
- input
- focal plane
- statistical parameter
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
- G06T2207/10036—Multispectral image; Hyperspectral image
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Spectrometry And Color Measurement (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
- Studio Devices (AREA)
Abstract
In accordance with various aspects of the disclosure, a system, a method, and computer readable medium having instructions for processing images is disclosed. For example, the method includes receiving an input datacube from which an input image is derived. The input datacube is transformed into a residual datacube by projecting out basis vectors from each spatial pixel in the input datacube, the residual datacube being used to derive a residual image. A statistical parameter value for samples of each focal plane pixel in the residual image is determined. Anomalous focal plane pixels are identified based upon a comparison of the determined statistical parameter value with the respective determined statistical parameter values of remaining focal plane pixels. Another comparison of residual values for each scanned sample of the identified anomalous focal plane pixels with values of corresponding scanned samples in the input datacube is performed.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US13/542,181 US9064308B2 (en) | 2011-04-13 | 2012-07-05 | System and method for residual analysis of images |
| PCT/US2013/043037 WO2014007925A1 (en) | 2012-07-05 | 2013-05-29 | System and method for residual analysis of images |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| IN2014KN02615A true IN2014KN02615A (en) | 2015-05-08 |
Family
ID=48626627
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IN2615KON2014 IN2014KN02615A (en) | 2012-07-05 | 2013-05-29 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US9064308B2 (en) |
| EP (1) | EP2870586B1 (en) |
| JP (1) | JP6122953B2 (en) |
| CA (1) | CA2877547C (en) |
| IL (1) | IL236570A (en) |
| IN (1) | IN2014KN02615A (en) |
| WO (1) | WO2014007925A1 (en) |
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| US9442904B2 (en) | 2012-12-21 | 2016-09-13 | Vmware, Inc. | Systems and methods for applying a residual error image |
| EP2790126B1 (en) * | 2013-04-08 | 2016-06-01 | Cogisen SRL | Method for gaze tracking |
| US8995722B2 (en) * | 2013-08-05 | 2015-03-31 | Raytheon Company | Sparse reduced (spare) filter |
| US9412005B2 (en) * | 2013-10-25 | 2016-08-09 | Gooch & Housego Plc | Use of error image for unmixing artifact removal in linear spectral unmixing |
| FR3038194B1 (en) * | 2015-06-26 | 2017-08-11 | Ulis | CORRECTION OF PIXEL PARASITES IN AN INFRARED IMAGE SENSOR |
| FR3038195B1 (en) | 2015-06-26 | 2018-08-31 | Ulis | DETECTION OF PIXEL PARASITES IN AN INFRARED IMAGE SENSOR |
| US10373339B2 (en) * | 2015-12-14 | 2019-08-06 | The Government Of The United States Of America, As Represented By The Secretary Of The Navy | Hyperspectral scene analysis via structure from motion |
| WO2018008069A1 (en) * | 2016-07-04 | 2018-01-11 | パイオニア株式会社 | Spectroscopic measurement device and method |
| US10997707B1 (en) * | 2018-02-27 | 2021-05-04 | Orbital Sidekick, Inc. | Aerial and space-based hyperspectral imaging system and method for hydrocarbon and chemical industry regulatory compliance, leak detection and product speciation |
| JP2019039913A (en) * | 2018-08-02 | 2019-03-14 | 株式会社Zmp | Monitoring system |
| DE102022118582B4 (en) * | 2022-07-25 | 2025-07-31 | Carl Zeiss Industrielle Messtechnik Gmbh | Computer-implemented method for generating a corrected image with extended depth of field, method, measuring device and computer program product |
| CN117739289B (en) * | 2024-02-20 | 2024-04-26 | 齐鲁工业大学(山东省科学院) | Leakage detection method and system based on sound-image fusion |
| CN118537272B (en) * | 2024-07-04 | 2025-02-11 | 中国科学院空天信息创新研究院 | Method, device and equipment for correcting residual range migration of synthetic aperture radar images |
| CN119382714B (en) * | 2024-12-27 | 2025-03-21 | 深圳深宝电器仪表有限公司 | A method and system for optimizing storage of control terminal data |
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| JP3217987B2 (en) | 1997-03-31 | 2001-10-15 | 松下電器産業株式会社 | Video signal decoding method and encoding method |
| US6208752B1 (en) | 1998-03-12 | 2001-03-27 | The United States Of America As Represented By The Secretary Of The Navy | System for eliminating or reducing exemplar effects in multispectral or hyperspectral sensors |
| US6075891A (en) | 1998-07-06 | 2000-06-13 | General Dynamics Government Systems Corporation | Non-literal pattern recognition method and system for hyperspectral imagery exploitation |
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| US6546117B1 (en) | 1999-06-10 | 2003-04-08 | University Of Washington | Video object segmentation using active contour modelling with global relaxation |
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| US6665438B1 (en) | 1999-05-05 | 2003-12-16 | American Gnc Corporation | Method for hyperspectral imagery exploitation and pixel spectral unmixing |
| US6782138B1 (en) | 1999-07-14 | 2004-08-24 | Purdue Research Foundation | Method and system for processing multidimensional data |
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| US8675989B2 (en) | 2011-04-13 | 2014-03-18 | Raytheon Company | Optimized orthonormal system and method for reducing dimensionality of hyperspectral images |
-
2012
- 2012-07-05 US US13/542,181 patent/US9064308B2/en active Active
-
2013
- 2013-05-29 WO PCT/US2013/043037 patent/WO2014007925A1/en not_active Ceased
- 2013-05-29 IN IN2615KON2014 patent/IN2014KN02615A/en unknown
- 2013-05-29 JP JP2015517282A patent/JP6122953B2/en active Active
- 2013-05-29 EP EP13729162.1A patent/EP2870586B1/en active Active
- 2013-05-29 CA CA2877547A patent/CA2877547C/en active Active
-
2015
- 2015-01-04 IL IL236570A patent/IL236570A/en active IP Right Grant
Also Published As
| Publication number | Publication date |
|---|---|
| JP6122953B2 (en) | 2017-04-26 |
| JP2015525351A (en) | 2015-09-03 |
| IL236570A (en) | 2017-12-31 |
| IL236570A0 (en) | 2015-02-26 |
| CA2877547C (en) | 2017-07-11 |
| CA2877547A1 (en) | 2014-01-09 |
| WO2014007925A1 (en) | 2014-01-09 |
| EP2870586A1 (en) | 2015-05-13 |
| US9064308B2 (en) | 2015-06-23 |
| US20140010471A1 (en) | 2014-01-09 |
| EP2870586B1 (en) | 2018-08-15 |
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