WO2011003836A1 - Process for filtering interferograms obtained from sar images acquired on the same area. - Google Patents
Process for filtering interferograms obtained from sar images acquired on the same area. Download PDFInfo
- Publication number
- WO2011003836A1 WO2011003836A1 PCT/EP2010/059494 EP2010059494W WO2011003836A1 WO 2011003836 A1 WO2011003836 A1 WO 2011003836A1 EP 2010059494 W EP2010059494 W EP 2010059494W WO 2011003836 A1 WO2011003836 A1 WO 2011003836A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- images
- values
- sar
- phase
- coherence
- Prior art date
Links
Classifications
-
- 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
- G01S13/9023—SAR image post-processing techniques combined with interferometric techniques
-
- 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
- G01S13/904—SAR modes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
Definitions
- the present invention relates to a process for filtering interferograms obtained from SAR images, acquired on the same area.
- a synthetic aperture radar or SAR system produces a two-dimensional image.
- One dimension of the image is called range and it is a measurement of the distance in line of sight from the radar to the object being illuminated.
- the other dimension is called azimuth and it is perpendicular to the "range”.
- SAR type radar operates at a frequency generally between 400 Mhz and 10 Ghz and is usually installed in aircrafts or on satellite platforms orbiting at an altitude of between 250 and 800 Km.
- the radar antenna is aimed at the ground orthogonally to the direction of motion of the platform
- the SAR is of the coherent type and thus the images are matrixes of complex numbers in which the amplitude values are tied to the backscattered power from the illuminated objects (that is, to their radar cross section), whereas the phase is determined by the nature of the target and its distance from the radar.
- x and y identify the real and imaginary part of the number, A its amplitude and ⁇ the phase value, and i is the imaginary unit, or square root of -1.
- SAR imaging lends itself to a variety of applications; among these, of primary importance are applications tied to the identification and classification of targets and change detection and interferometric applications. The latter are usually aimed at obtaining digital elevation models and/or analyzing surface deformations of the ground based on multi-temporal SAR datasets.
- phase of each pixel of a SAR image (identified by a certain range coordinate r and azimuth coordinate a) can be seen as the sum of a contribution ⁇ linked to the nature of the illuminated object, called "reflectivity phase", and a contribution d linked to the optical path of the electromagnetic wave and thus to the characteristics of the transmission means and the sensor-target distance:
- ⁇ (r, a) ⁇ (r, a) + d(r, a)
- the quality of the estimate largely depends on the fact that the reflectivity phase of a certain resolution cell remains constant over time. If this hypothesis is verified, by calculating the differences of the phase values of the various acquisitions with respect, for example, to the first image, it is possible to bring to light the contributions due solely to variations in the optical path. It should be noted, therefore, that only the difference between the phase values of two acquisitions provides information and not the phase of a single image, given that the reflectivity phase values are unknown and vary from pixel to pixel: it is thus the interferometric phase that allows the map of any surface deformations to be visualized.
- phase values There are two main mechanisms leading to a variation in the reflectivity phase values: (a) temporal decorrelation, i.e. the variations in the electromagnetic characteristics of an object over time; (b) geometric or spatial decorrelation, induced by variations in the acquisition geometry.
- the first mechanism is dependent on the so-called “temporal baseline” of the inter fero gram, or, in the case of a set of images acquired at different times, the temporal distance between the two images used to generate the inter fero gram.
- the second mechanism depends instead on the so-called “geometric baseline", i.e. the distance between the trajectories followed by the sensor during the two acquisitions.
- E(.) indicates the statistical operator known as "expectation”.
- the expectation operator is replaced by a spatial average computed on an appropriate window F centred around the current pixel.
- the estimated coherence (c nm ) is thus calculated as follows: ⁇ nm p&F
- the coherence thus computed is a complex number which varies from image pixel to pixel, whose modulus, in virtue of normalization, ranges between 0 and 1 (respectively minimum and maximum correlation, i.e. null or infinite signal-to-noise ratio) and whose phase is the average of the pixel phases used in the estimation window.
- the coherence c nm can be seen as element of a matrix NxN, called coherence matrix, which is able to describe, for each pixel of the acquired scene, the interferometric quality of the entire set of available SAR images. That is, given a set of N SAR images acquired on the same area and for which the re-sampling of data on a common grid is possible, with each pixel it is possible to associate a matrix of NxN elements, where the generic element c nm is the estimate of the complex coherence between the images n and m of the set of available images.
- a first solution might be to proceed by trial and error in order to find interferometric pairs of good quality which allow a reconstruction of the complete historical series of the optical path values and combine the results obtained in the various interfero grams (diagrams B and C in Figure 1 show, by way of example, two configurations of N-I interfero grams which are different from what is shown in diagram A, but allow a historical series of N values to be obtained).
- diagrams B and C in Figure 1 show, by way of example, two configurations of N-I interfero grams which are different from what is shown in diagram A, but allow a historical series of N values to be obtained.
- it is reasonable to assume that such an operation will be more efficient if based on an analysis of the coherence matrix associated with the pixel in question, which, by construction, gives a synoptic picture of all possible interferometric pairs of the dataset.
- the elements of a generic coherence matrix not only allow an estimation of the signal-to-noise ratios of the inter fero grams by exploiting the moduli of the matrix values, but also offer, using the phase values, filtered versions of the interferometric phase values for each possible pair of images.
- phase ⁇ nm of a generic element of the coherence matrix is given by a spatial average, computed on an appropriate estimation window F, of the interferometric phase values: this operation allows a significant reduction in the noise level, at least in the case of a homogeneous statistical population characterized by the same optical path value and for an interferogram with a non-null signal- to-noise ratio. Though on the one hand this averaging process allows noise levels to be reduced, on the other hand it means that the triangularity relationship will not be satisfied:
- the present invention proposes a method for obtaining this vector.
- the process according to the present invention provides for the following steps:
- phase values ⁇ n thus obtained constitute the vector of the filtered phase values.
- the proposed optimization despite being based on a strongly non-linear functional, does not require an inversion of the coherence matrix; this is an element of considerable operative importance, given that coherence matrixes are often ill-conditioned.
- the functional proposed is in actual fact a weighted sum, where the weights are linked to the moduli of the coherence matrix: it will thus be desired to place emphasis on the phase terms characterized by a high signal- to-noise ratio: the vector ⁇ thus obtained will have elements that must respect to a greater degree the phases of the elements of the coherence matrix characterized by high coherence values, that is, greater values in terms o f mo dulus .
- phase values can also be used for parametric estimates linked to the phase values: if the expected trend in such values is known a priori (for example, a polynomial law which is a function of the temporal baseline and geometric baseline of the various inter fero grams), said parameters can be estimated again using the proposed functional and optimizing no longer the phase values t, but directly the unknown parameters. This is the case when one wishes to estimate, for example, the average speed of movement and elevation of the radar target once the coherence matrix and the temporal and geometric baselines of the various inter fero grams are known.
- a priori for example, a polynomial law which is a function of the temporal baseline and geometric baseline of the various inter fero grams
- Figure 4 shows a comparison between the historical series of movement associated with a pixel in the case where the starting data are the unfiltered inter fero grams (historical series A) and in the case where the starting data are the inter fero grams reconstructed via the source vectors (low historical series B). The reduction in noise is evident.
- the temporal axis of the measurements (where time is measured in days) is shown along the x-axis of the diagrams and the estimated movements of the object on the ground, ranging between -30 and +30 mm, are shown on the y-axis.
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
- Image Processing (AREA)
- Apparatus For Radiation Diagnosis (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Abstract
Description
Claims
Priority Applications (13)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA2767144A CA2767144C (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from sar images acquired on the same area |
JP2012518927A JP5932643B2 (en) | 2009-07-08 | 2010-07-02 | Method for filtering interferogram obtained from SAR image acquired on same region |
DK10730163.2T DK2452205T3 (en) | 2009-07-08 | 2010-07-02 | A process for the filtration of the interferograms obtained by SAR images recorded on the same area |
ES10730163.2T ES2539586T3 (en) | 2009-07-08 | 2010-07-02 | Process to filter interferograms obtained from SAR images obtained in the same area |
EP10730163.2A EP2452205B1 (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from sar images acquired on the same area |
NZ597707A NZ597707A (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from sar images acquired on the same area |
BR112012000415A BR112012000415A2 (en) | 2009-07-08 | 2010-07-02 | process for filtering interferograms obtained from sar and computer images. |
IN449DEN2012 IN2012DN00449A (en) | 2009-07-08 | 2010-07-02 | |
CN201080031221.5A CN102472815B (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from SAR images acquired on the same area |
PL10730163T PL2452205T3 (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from sar images acquired on the same area |
US13/259,295 US8711029B2 (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from SAR images acquired on the same area |
AU2010270339A AU2010270339B2 (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from SAR images acquired on the same area. |
HK12111786.1A HK1171086A1 (en) | 2009-07-08 | 2012-11-19 | Process for filtering interferograms obtained from sar images acquired on the same area sar |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
ITMI2009A001210 | 2009-07-08 | ||
ITMI2009A001210A IT1394733B1 (en) | 2009-07-08 | 2009-07-08 | PROCEDURE FOR FILTERING INTERFEROGRAMS GENERATED BY IMAGES ACQUIRED ON THE SAME AREA. |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2011003836A1 true WO2011003836A1 (en) | 2011-01-13 |
Family
ID=41667296
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2010/059494 WO2011003836A1 (en) | 2009-07-08 | 2010-07-02 | Process for filtering interferograms obtained from sar images acquired on the same area. |
Country Status (17)
Country | Link |
---|---|
US (1) | US8711029B2 (en) |
EP (1) | EP2452205B1 (en) |
JP (1) | JP5932643B2 (en) |
CN (1) | CN102472815B (en) |
AU (1) | AU2010270339B2 (en) |
BR (1) | BR112012000415A2 (en) |
CA (1) | CA2767144C (en) |
CY (1) | CY1116529T1 (en) |
DK (1) | DK2452205T3 (en) |
ES (1) | ES2539586T3 (en) |
HK (1) | HK1171086A1 (en) |
IN (1) | IN2012DN00449A (en) |
IT (1) | IT1394733B1 (en) |
NZ (1) | NZ597707A (en) |
PL (1) | PL2452205T3 (en) |
PT (1) | PT2452205E (en) |
WO (1) | WO2011003836A1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2983307A1 (en) * | 2011-11-24 | 2013-05-31 | Thales Sa | Method for coherent detection of changes occurring on area of land between two synthetic aperture radar image acquisitions, involves detecting changes on coherence images of coarsest resolution among resolutions of image coherences |
CN103226194A (en) * | 2013-03-26 | 2013-07-31 | 中国科学院电子学研究所 | Interferometric synthetic aperture radar (InSAR) interferometric phase filtering method based on empirical mode decomposition |
US11846702B2 (en) | 2019-07-18 | 2023-12-19 | Nec Corporation | Image processing device and image processing method |
Families Citing this family (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8711030B2 (en) * | 2011-10-30 | 2014-04-29 | Raytheon Company | Single-pass Barankin Estimation of scatterer height from SAR data |
DE102012207186A1 (en) * | 2012-03-29 | 2013-10-02 | Rohde & Schwarz Gmbh & Co. Kg | Method and device for detecting structures in an object to be examined |
CN103699784A (en) * | 2013-12-12 | 2014-04-02 | 中国科学院深圳先进技术研究院 | Clustering method and system based on full polarimetric synthetic aperture radar data |
CN103823219B (en) * | 2014-03-14 | 2016-03-02 | 中国科学院电子学研究所 | The non local interfering synthetic aperture radar interferometric phase filtering method of adaptive iteration |
WO2015192056A1 (en) | 2014-06-13 | 2015-12-17 | Urthecast Corp. | Systems and methods for processing and providing terrestrial and/or space-based earth observation video |
US20180011187A1 (en) * | 2015-02-06 | 2018-01-11 | Mitsubishi Electric Corporation | Synthetic-aperture radar signal processing apparatus |
WO2016153914A1 (en) | 2015-03-25 | 2016-09-29 | King Abdulaziz City Of Science And Technology | Apparatus and methods for synthetic aperture radar with digital beamforming |
WO2017044168A2 (en) | 2015-06-16 | 2017-03-16 | King Abdulaziz City Of Science And Technology | Efficient planar phased array antenna assembly |
EP3380864A4 (en) | 2015-11-25 | 2019-07-03 | Urthecast Corp. | Synthetic aperture radar imaging apparatus and methods |
FR3046298B1 (en) * | 2015-12-23 | 2018-01-26 | Commissariat A L'energie Atomique Et Aux Energies Alternatives | OPTOELECTRONIC LIGHT EMISSION DEVICE |
CN105487065B (en) * | 2016-01-08 | 2017-06-20 | 香港理工大学深圳研究院 | A kind of sequential spaceborne radar data processing method and device |
EP3646054A4 (en) | 2017-05-23 | 2020-10-28 | King Abdulaziz City for Science and Technology | Synthetic aperture radar imaging apparatus and methods for moving targets |
CA3064735C (en) | 2017-05-23 | 2022-06-21 | Urthecast Corp. | Synthetic aperture radar imaging apparatus and methods |
GB201709525D0 (en) * | 2017-06-15 | 2017-08-02 | Univ Nottingham | Land deformation measurement |
CN107561536B (en) * | 2017-11-01 | 2020-08-25 | 河海大学 | Rapid imaging method for compressed sensing inverse synthetic aperture radar deviating from grid |
US11525910B2 (en) | 2017-11-22 | 2022-12-13 | Spacealpha Insights Corp. | Synthetic aperture radar apparatus and methods |
WO2019123786A1 (en) * | 2017-12-18 | 2019-06-27 | 日本電気株式会社 | Synthetic-aperture radar signal processing device and method |
CN109116354B (en) * | 2018-09-03 | 2022-07-22 | 北京市测绘设计研究院 | Amplitude deviation PS point selection method based on signal-to-clutter ratio weighting |
US11754704B2 (en) * | 2019-03-29 | 2023-09-12 | Nec Corporation | Synthetic-aperture-radar image processing device and image processing method |
US11841422B2 (en) * | 2019-05-29 | 2023-12-12 | Nec Corporation | Synthetic aperture radar signal processing device and signal processing method |
CN110261839B (en) * | 2019-07-04 | 2023-02-28 | 河海大学 | Enhanced spectrum diversity azimuth offset estimation method based on double samples |
US20220262096A1 (en) * | 2019-07-18 | 2022-08-18 | Nec Corporation | Image processing device and image processing method |
US20230351567A1 (en) * | 2020-03-17 | 2023-11-02 | Nec Corporation | Data processing device and data processing method |
CN111239736B (en) * | 2020-03-19 | 2022-02-11 | 中南大学 | Single-baseline-based surface elevation correction method, device, equipment and storage medium |
US20230133736A1 (en) * | 2020-03-24 | 2023-05-04 | Nec Corporation | Image analyzing device and image analyzing method |
CN112052754B (en) * | 2020-08-24 | 2023-05-05 | 西安电子科技大学 | Polarization SAR image ground object classification method based on self-supervision characterization learning |
WO2022070243A1 (en) * | 2020-09-29 | 2022-04-07 | 日本電気株式会社 | Image analysis device and image analysis method |
JP7416277B2 (en) | 2020-09-29 | 2024-01-17 | 日本電気株式会社 | Image analysis device and image analysis method |
CN113204023B (en) * | 2021-05-10 | 2022-09-23 | 中国地质大学(武汉) | Dual-polarization phase optimization earth surface deformation monitoring method combining PS target and DS target |
US11933883B2 (en) * | 2021-09-24 | 2024-03-19 | Aloft Sensing, Inc. | System and method for self-contained high-precision navigation |
CN116047519B (en) * | 2023-03-30 | 2023-06-16 | 山东建筑大学 | Point selection method based on synthetic aperture radar interferometry technology |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1183551B1 (en) * | 1999-05-25 | 2003-12-17 | Politecnico Di Milano | Process for radar measurements of the movement of city areas and landsliding zones |
WO2005008281A1 (en) * | 2003-07-19 | 2005-01-27 | Gamma Remote Sensing Research And Consulting Ag | Method to improve interferometric signatures by coherent point scatterers |
EP2017647A1 (en) * | 2007-07-19 | 2009-01-21 | Consiglio Nazionale delle Ricerche | Method for processing data sensed by a synthetic aperture radar (SAR) and related remote sensing system |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5488374A (en) * | 1994-10-14 | 1996-01-30 | Hughes Aircraft Company | Multi-scale adaptive filter for interferometric SAR data |
US6011505A (en) * | 1996-07-11 | 2000-01-04 | Science Applications International Corporation | Terrain elevation measurement by interferometric synthetic aperture radar (IFSAR) |
US6046695A (en) * | 1996-07-11 | 2000-04-04 | Science Application International Corporation | Phase gradient auto-focus for SAR images |
US5923278A (en) * | 1996-07-11 | 1999-07-13 | Science Applications International Corporation | Global phase unwrapping of interferograms |
US6097328A (en) * | 1998-07-02 | 2000-08-01 | Raytheon Company | Averaging-area-constrained adaptive interferometric filter that optimizes combined coherent and noncoherent averaging |
US6011625A (en) * | 1998-07-08 | 2000-01-04 | Lockheed Martin Corporation | Method for phase unwrapping in imaging systems |
US7042386B2 (en) * | 2001-12-11 | 2006-05-09 | Essex Corporation | Sub-aperture sidelobe and alias mitigation techniques |
US6677885B1 (en) * | 2003-01-02 | 2004-01-13 | Raytheon Company | Method for mitigating atmospheric propagation error in multiple pass interferometric synthetic aperture radar |
US6864828B1 (en) * | 2003-02-18 | 2005-03-08 | Lockheed Martin Corporation | Method and apparatus for collection and processing of interferometric synthetic aperture radar data |
DE10348621B4 (en) * | 2003-10-15 | 2013-10-10 | Astrium Gmbh | Method for radar measurements using reference radar signals |
ITMI20051912A1 (en) * | 2005-10-11 | 2007-04-12 | Milano Politecnico | METHOD AND PLANT FOR ACQUISITION OF DATA USE OF DIEDRI FOR DATA ACQUISITION |
ITMO20070363A1 (en) * | 2007-11-27 | 2009-05-28 | Aresys S R L Spin Off Del Poli | METHOD FOR RADIOMETRIC CALIBRATION OF SAR SENSORS |
DE102008026497A1 (en) * | 2008-06-03 | 2010-01-07 | Astrium Gmbh | A method of optimizing the operation of an active side view sensor of variable height over the surface to be detected |
US8232908B2 (en) * | 2008-06-26 | 2012-07-31 | Raytheon Company | Inverse synthetic aperture radar image processing |
CN101339245B (en) * | 2008-08-08 | 2011-09-21 | 西安电子科技大学 | Multi- baseline interference synthetic aperture radar interference phase unwrapping method |
FR2935077B1 (en) * | 2008-08-14 | 2013-08-16 | Thales Sa | METHOD FOR COMPRESSING DATA FROM HIGH-DYNAMIC SIGNALS AND LOW VARIANCE |
FR2938925B1 (en) * | 2008-11-21 | 2015-09-04 | Thales Sa | RADAR DEVICE FOR MARITIME SURVEILLANCE |
US8576111B2 (en) * | 2009-02-23 | 2013-11-05 | Imsar Llc | Synthetic aperture radar system and methods |
IT1393687B1 (en) * | 2009-04-03 | 2012-05-08 | Tele Rilevamento Europa T R E S R L | PROCEDURE FOR THE IDENTIFICATION OF PIXELS STATISTICALLY HOMOGENEOUS IN IMAGES ARE PURCHASED ON THE SAME AREA. |
-
2009
- 2009-07-08 IT ITMI2009A001210A patent/IT1394733B1/en active
-
2010
- 2010-07-02 EP EP10730163.2A patent/EP2452205B1/en active Active
- 2010-07-02 US US13/259,295 patent/US8711029B2/en active Active
- 2010-07-02 CN CN201080031221.5A patent/CN102472815B/en active Active
- 2010-07-02 WO PCT/EP2010/059494 patent/WO2011003836A1/en active Application Filing
- 2010-07-02 AU AU2010270339A patent/AU2010270339B2/en active Active
- 2010-07-02 CA CA2767144A patent/CA2767144C/en active Active
- 2010-07-02 PT PT107301632T patent/PT2452205E/en unknown
- 2010-07-02 BR BR112012000415A patent/BR112012000415A2/en not_active Application Discontinuation
- 2010-07-02 DK DK10730163.2T patent/DK2452205T3/en active
- 2010-07-02 NZ NZ597707A patent/NZ597707A/en unknown
- 2010-07-02 JP JP2012518927A patent/JP5932643B2/en active Active
- 2010-07-02 ES ES10730163.2T patent/ES2539586T3/en active Active
- 2010-07-02 IN IN449DEN2012 patent/IN2012DN00449A/en unknown
- 2010-07-02 PL PL10730163T patent/PL2452205T3/en unknown
-
2012
- 2012-11-19 HK HK12111786.1A patent/HK1171086A1/en unknown
-
2015
- 2015-06-24 CY CY20151100542T patent/CY1116529T1/en unknown
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1183551B1 (en) * | 1999-05-25 | 2003-12-17 | Politecnico Di Milano | Process for radar measurements of the movement of city areas and landsliding zones |
WO2005008281A1 (en) * | 2003-07-19 | 2005-01-27 | Gamma Remote Sensing Research And Consulting Ag | Method to improve interferometric signatures by coherent point scatterers |
EP2017647A1 (en) * | 2007-07-19 | 2009-01-21 | Consiglio Nazionale delle Ricerche | Method for processing data sensed by a synthetic aperture radar (SAR) and related remote sensing system |
Non-Patent Citations (5)
Title |
---|
"Moving from PS to slowly decorrelating targets: A prospective view", EUSAR 2008: PROCEEDINGS OF THE 7TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, 2 June 2008 (2008-06-02), pages 3PP |
DANIELE PERISSIN ET AL: "Repeat-pass SAR interferometry with partially coherent targets", PROCEEDINGS OF FRINGE 2007 : 26 - 30 NOVEMBER 2007, ESRIN, FRASCATI, ITALY (IN: ESA-SP), ESA, EUROPEAN SPACE AGENCY, no. 649, 26 November 2007 (2007-11-26), pages 7PP, XP007911824, ISBN: 978-92-9291-213-0, Retrieved from the Internet <URL:http://home.dei.polimi.it/perissin/Publish/07FringePartCoher.pdf> [retrieved on 20100218] * |
DANIELE PRESSIN ET AL.: "Repeat-pass SAR interferometry with partially coherent targets", PROCEEDINGS ON FRINGE 2007, no. 649, 26 November 2007 (2007-11-26), pages 7PP |
DE ZAN ET AL.: "PS Processing with decorrelating targets", PROCEEDINGS ENVISAT SYMPOSIUM 2007, 27 April 2007 (2007-04-27), Montreux, XP002569852 * |
FERRETTI ET AL: "Moving from PS to Slowly Decorrelating Targets: A Prospective View", EUSAR 2008: PROCEEDINGS OF THE 7TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, JUNE 2 - 5, 2008, FRIEDRICHSHAFEN, GERMANY,, 2 June 2008 (2008-06-02), pages 3PP, XP007911823, ISBN: 978-3-8007-3084-1 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2983307A1 (en) * | 2011-11-24 | 2013-05-31 | Thales Sa | Method for coherent detection of changes occurring on area of land between two synthetic aperture radar image acquisitions, involves detecting changes on coherence images of coarsest resolution among resolutions of image coherences |
CN103226194A (en) * | 2013-03-26 | 2013-07-31 | 中国科学院电子学研究所 | Interferometric synthetic aperture radar (InSAR) interferometric phase filtering method based on empirical mode decomposition |
US11846702B2 (en) | 2019-07-18 | 2023-12-19 | Nec Corporation | Image processing device and image processing method |
Also Published As
Publication number | Publication date |
---|---|
US20120019410A1 (en) | 2012-01-26 |
CA2767144A1 (en) | 2011-01-13 |
AU2010270339B2 (en) | 2016-04-14 |
BR112012000415A2 (en) | 2017-06-13 |
EP2452205A1 (en) | 2012-05-16 |
JP2012533051A (en) | 2012-12-20 |
CN102472815B (en) | 2014-04-23 |
DK2452205T3 (en) | 2015-06-15 |
PT2452205E (en) | 2015-07-30 |
CN102472815A (en) | 2012-05-23 |
AU2010270339A1 (en) | 2012-02-02 |
PL2452205T3 (en) | 2015-10-30 |
HK1171086A1 (en) | 2013-03-15 |
IT1394733B1 (en) | 2012-07-13 |
ITMI20091210A1 (en) | 2011-01-09 |
US8711029B2 (en) | 2014-04-29 |
CA2767144C (en) | 2017-08-08 |
JP5932643B2 (en) | 2016-06-08 |
NZ597707A (en) | 2013-11-29 |
CY1116529T1 (en) | 2017-03-15 |
EP2452205B1 (en) | 2015-03-25 |
IN2012DN00449A (en) | 2015-05-15 |
ES2539586T3 (en) | 2015-07-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
AU2010270339B2 (en) | Process for filtering interferograms obtained from SAR images acquired on the same area. | |
Ash et al. | Wide-angle synthetic aperture radar imaging: Models and algorithms for anisotropic scattering | |
Ferro-Famil et al. | Scene characterization using subaperture polarimetric SAR data | |
Frey et al. | Focusing of airborne synthetic aperture radar data from highly nonlinear flight tracks | |
US9417323B2 (en) | SAR point cloud generation system | |
Austin et al. | Sparse signal methods for 3-D radar imaging | |
Rambour et al. | From interferometric to tomographic SAR: A review of synthetic aperture radar tomography-processing techniques for scatterer unmixing in urban areas | |
US8125370B1 (en) | Polarimetric synthetic aperture radar signature detector | |
EP2415017B1 (en) | Process for identifying statistically homogeneous pixels in sar images acquired on the same area | |
Ertin et al. | Interferometric methods for three-dimensional target reconstruction with multipass circular SAR | |
EP3896482A1 (en) | Method for the computer-implemented generation of a synthetic data set for training a convolutional neural network for an interferometric sar | |
CN109116321B (en) | A kind of phase filtering method and height measurement method of spaceborne interference imaging altimeter | |
Rambour et al. | Introducing spatial regularization in SAR tomography reconstruction | |
CN112415515B (en) | Method for separating targets with different heights by airborne circular track SAR | |
Stojanovic et al. | Joint space aspect reconstruction of wide-angle SAR exploiting sparsity | |
Nielsen et al. | Direction-of-arrival estimation for radar ice sounding surface clutter suppression | |
Torgrimsson et al. | An efficient solution to the factorized geometrical autofocus problem | |
Lombardini et al. | Linear and adaptive spaceborne three-dimensional SAR tomography: A comparison on real data | |
Domínguez et al. | Deriving digital surface models from geocoded SAR images and back-projection tomography | |
Gishkori et al. | Adaptive subaperture integration for wide-angle synthetic aperture radar | |
Shi et al. | High quality large-scale 3-D urban mapping with multi-master TomoSAR | |
Dănişor et al. | Comparative study of SAR tomographic reconstruction algorithms | |
Lombardi et al. | Interferometric COSMO-SkyMed spotlight DEM generation | |
Vinogradova et al. | Feature Enhancement of InSAR Data Products Using Coherence Maps | |
Richter | Coherent Azimuth Ambiguity Removal from Along-Track Interferometric Synthetic Aperture Radar Data for the Harmony Mission |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 201080031221.5 Country of ref document: CN |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 10730163 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 13259295 Country of ref document: US |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2012518927 Country of ref document: JP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2767144 Country of ref document: CA |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2010270339 Country of ref document: AU |
|
WWE | Wipo information: entry into national phase |
Ref document number: 449/DELNP/2012 Country of ref document: IN |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2010730163 Country of ref document: EP |
|
ENP | Entry into the national phase |
Ref document number: 2010270339 Country of ref document: AU Date of ref document: 20100702 Kind code of ref document: A |
|
REG | Reference to national code |
Ref country code: BR Ref legal event code: B01A Ref document number: 112012000415 Country of ref document: BR Kind code of ref document: A2 |
|
REG | Reference to national code |
Ref country code: BR Ref legal event code: B01E Ref document number: 112012000415 Country of ref document: BR |
|
ENP | Entry into the national phase |
Ref document number: 112012000415 Country of ref document: BR Kind code of ref document: A2 Effective date: 20120106 |