WO2008118739A3 - Method and apparatus for compression of sar images - Google Patents

Method and apparatus for compression of sar images Download PDF

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Publication number
WO2008118739A3
WO2008118739A3 PCT/US2008/057629 US2008057629W WO2008118739A3 WO 2008118739 A3 WO2008118739 A3 WO 2008118739A3 US 2008057629 W US2008057629 W US 2008057629W WO 2008118739 A3 WO2008118739 A3 WO 2008118739A3
Authority
WO
WIPO (PCT)
Prior art keywords
sar
compressing
anisotropic diffusion
diffusion algorithm
applying
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2008/057629
Other languages
French (fr)
Other versions
WO2008118739A2 (en
Inventor
Josef Allen
Emile Ganthier
Mark Rahmes
Matthew Winter
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harris Corp
Original Assignee
Harris Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Harris Corp filed Critical Harris Corp
Priority to EP08744118A priority Critical patent/EP2130378A2/en
Priority to CA002681700A priority patent/CA2681700A1/en
Priority to JP2010501100A priority patent/JP2010522341A/en
Priority to BRPI0808279-0A priority patent/BRPI0808279A2/en
Publication of WO2008118739A2 publication Critical patent/WO2008118739A2/en
Publication of WO2008118739A3 publication Critical patent/WO2008118739A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • G01S13/9021—SAR image post-processing techniques
    • G01S13/9027—Pattern recognition for feature extraction
    • 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
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/117—Filters, e.g. for pre-processing or post-processing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/136—Incoming video signal characteristics or properties
    • H04N19/14—Coding unit complexity, e.g. amount of activity or edge presence estimation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/80—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
    • 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
    • G06T2207/10044—Radar image
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20192—Edge enhancement; Edge preservation
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Artificial Intelligence (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Electromagnetism (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

A computer system 60 for compressing synthetic aperture radar (SAR) images includes a database for storing SAR images to be compressed, and a processor 69 for compressing a SAR image from the database. The compressing includes applying an anisotropic diffusion algorithm to the SAR image, and compressing the SAR image after applying the anisotropic diffusion algorithm thereto. Applying the anisotropic diffusion algorithm includes determining noise in the SAR, selecting a noise threshold for the SAR image based on the determined noise, and mathematically adjusting the anisotropic diffusion algorithm based on the selected noise threshold.
PCT/US2008/057629 2007-03-22 2008-03-20 Method and apparatus for compression of sar images Ceased WO2008118739A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP08744118A EP2130378A2 (en) 2007-03-22 2008-03-20 Method and apparatus for compression of sar images
CA002681700A CA2681700A1 (en) 2007-03-22 2008-03-20 Method and apparatus for compression of sar images
JP2010501100A JP2010522341A (en) 2007-03-22 2008-03-20 Method and apparatus for compressing SAR images
BRPI0808279-0A BRPI0808279A2 (en) 2007-03-22 2008-03-20 "COMPUTER IMPLEMENTED METHOD FOR COMPRESSING SYNTHETIC OPENING RADAR (SAR) IMAGES AND COMPUTER SYSTEM FOR COMPRESSING SYNTHETIC OPENING RADAR (SAR) IMAGES"

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/689,706 2007-03-22
US11/689,706 US7598899B2 (en) 2007-03-22 2007-03-22 Method and apparatus for compression of SAR images

Publications (2)

Publication Number Publication Date
WO2008118739A2 WO2008118739A2 (en) 2008-10-02
WO2008118739A3 true WO2008118739A3 (en) 2008-11-13

Family

ID=39735090

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2008/057629 Ceased WO2008118739A2 (en) 2007-03-22 2008-03-20 Method and apparatus for compression of sar images

Country Status (7)

Country Link
US (1) US7598899B2 (en)
EP (1) EP2130378A2 (en)
JP (1) JP2010522341A (en)
BR (1) BRPI0808279A2 (en)
CA (1) CA2681700A1 (en)
TW (1) TW200901087A (en)
WO (1) WO2008118739A2 (en)

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FR2903211B1 (en) * 2006-06-30 2009-03-06 Gen Electric METHODS AND DEVICES FOR CORRECTING IMPLANT MAMMOGRAPHY AND SEGMENTING AN IMPLANT
US7508334B2 (en) * 2007-03-22 2009-03-24 Harris Corporation Method and apparatus for processing SAR images based on an anisotropic diffusion filtering algorithm
US8144048B2 (en) * 2009-03-25 2012-03-27 Honeywell International Inc. Systems and methods for gaussian decomposition of weather radar data for communication
US8174435B2 (en) * 2010-06-01 2012-05-08 Raytheon Company Methods and apparatus for non-isotropic sea clutter modeling
US8456352B2 (en) 2010-12-17 2013-06-04 Raytheon Company Methods and apparatus for automatic STC from sea state measurement via radar sea clutter eccentricity
US8456350B2 (en) 2010-12-17 2013-06-04 Raytheon Company Methods and apparatus for sea state measurement via radar sea clutter eccentricity
CN102927934B (en) * 2012-11-07 2015-01-28 中南大学 Method for obtaining mining area earth surface three-dimensional deformation fields through single interferometric synthetic aperture radar (InSAR) interference pair
CN103308914B (en) * 2012-12-06 2014-11-05 北京理工大学 One-station fixed bistatic interference synthetic aperture radar (SAR) processing method
CN104459634A (en) * 2014-12-08 2015-03-25 中国人民解放军国防科学技术大学 Interferometric phase truth value computing method for UWB InSAR
CN104915549B (en) * 2015-05-25 2018-07-03 同济大学 A kind of InSAR interferometric phase unwrapping methods based on semi-parameter model
CN106709463B (en) * 2016-12-29 2019-09-17 武汉大学 Based on the SAR image classification method that layering is semantic
US12058333B1 (en) 2023-12-12 2024-08-06 AtomBeam Technologies Inc. System and methods for upsampling of decompressed data after lossy compression using a neural network
US10852421B1 (en) * 2019-01-24 2020-12-01 Descartes Labs, Inc. Sparse phase unwrapping
CN110068823B (en) * 2019-04-02 2021-03-09 中国人民解放军海军工程大学 Block parallel quality guide rapid phase unwrapping algorithm
WO2021024336A1 (en) * 2019-08-05 2021-02-11 日本電気株式会社 Phase unwrapping device and phase unwrapping method
CN110764087B (en) * 2019-10-15 2021-08-31 中国科学院国家空间科学中心 An Inverse Weighted Inversion Method of Sea Surface Wind Direction Based on Interferometric Imaging Altimeter
NO348486B1 (en) * 2021-09-16 2025-02-10 Digifarm As Method and system for delineating agricultural fields in satellite images
WO2025050225A1 (en) * 2023-09-08 2025-03-13 Mda Systems Ltd. Computer system and method for a multi-sensor sar integrated three-dimensional decomposition acquisition planner
US12469179B2 (en) 2023-12-12 2025-11-11 AtomBeam Technologies Inc. System and methods for upsampling of decompressed data after lossy compression using a neural network

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US6897802B1 (en) * 2003-11-10 2005-05-24 Raytheon Company Fusion of shape and multiscale features for unknown target rejection
US7474249B1 (en) * 2004-08-12 2009-01-06 Lockheed Martin Corporation Systems and methods for dedicating power to a radar module
CN101151551B (en) * 2005-03-31 2010-10-13 松下电器产业株式会社 Spread spectrum radar equipment
US20070083114A1 (en) * 2005-08-26 2007-04-12 The University Of Connecticut Systems and methods for image resolution enhancement
US7508334B2 (en) * 2007-03-22 2009-03-24 Harris Corporation Method and apparatus for processing SAR images based on an anisotropic diffusion filtering algorithm
US7538712B2 (en) * 2007-03-22 2009-05-26 Harris Corporation Method and apparatus for decompression of SAR images

Non-Patent Citations (5)

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Title
ALLEN JOSEF DEVAUGHN ET AL: "Anisotropic diffusion techniques on synthetic aperture radar data", PROCEEDINGS OF SPIE-THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, SPIE, BELLINGHAM, WA; US, vol. 6547, 12 April 2007 (2007-04-12), pages 654703 - 1, XP002484224 *
GORMAN J D ET AL: "Assessing the impact of image compression on SAR automatic target detection and cuing", RADAR CONFERENCE, 1996., PROCEEDINGS OF THE 1996 IEEE NATIONAL ANN ARBOR, MI, USA 13-16 MAY 1996, NEW YORK, NY, USA,IEEE, US, 13 May 1996 (1996-05-13), pages 118 - 123, XP010164739, ISBN: 978-0-7803-3145-7 *
HANQIANG LIU ET AL: "SAR Image Compression Using Bandelets and SPIlT", RADAR, 2006. CIE '06. INTERNATIONAL CONFERENCE ON, IEEE, PI, 1 October 2006 (2006-10-01), pages 1 - 4, XP031073472, ISBN: 978-0-7803-9582-4 *
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SARTOR KENNETH ET AL: "Preprocessing of SAR interferometric data using anisotropic diffusion filter", PROCEEDINGS OF SPIE-THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, SPIE, BELLINGHAM, WA; US, vol. 6568, 10 April 2007 (2007-04-10), pages 1 - 12, XP002484722 *

Also Published As

Publication number Publication date
EP2130378A2 (en) 2009-12-09
JP2010522341A (en) 2010-07-01
CA2681700A1 (en) 2008-10-02
US20080231503A1 (en) 2008-09-25
BRPI0808279A2 (en) 2014-07-22
TW200901087A (en) 2009-01-01
US7598899B2 (en) 2009-10-06
WO2008118739A2 (en) 2008-10-02

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