applications of synthetic aperture radar for...
TRANSCRIPT
Applications of Synthetic Aperture Radar for Archaeological Documentation in North Sinai
Chris Stewart
Tor Vergata University of Rome
Acquisition Date Range Number of Scenes Track/Frame
2007/09 – 2010/06 2 604/610
2007/06 – 2010/06 7 605/600
2007/06 – 2010/05 2 605/610
2007/07 – 2010/09 7 606/600
2007/07 – 2010/06 2 606/610
2007/10 – 2011/02 7 607/590
2007/06 – 2011/02 21 607/600
2007/06 – 2011/02 19 607/610
2007/11 – 2010/04 7 608/600
PALSAR: Feature Extraction Data
Coregistration of SLC data for each track/frame stack
Multilook (to produce square pixels)
De Grandi filter for each track/frame stack
Geocoding, radiometric calibration (σ0), and radiometric normalisation (cosine correction)
Group images according to similar acquisition dates
Mosaic images in each track (azimuth direction) with similar acquisition dates
Mosaic each of the tracks, with similar acquisition dates
Perform multitemporal feature extraction on the stack of final mosaics
(including all tracks and frames)
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PALSAR: Feature Extraction Mosaic of North Sinai
PALSAR: Feature Extraction Mosaic of North Sinai
PALSAR: Feature Extraction Mosaic of North Sinai
North Sinai
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Multitemporal average of 11 PALSAR images (HH polarisation) acquired from 2007 to 2010
Subset of PALSAR mosaic (Average De Grandi filtered stack of PALSAR backscatter from 2007 to 2010)
PALSAR: Feature Extraction Linear features
Subset of PALSAR mosaic (Average De Grandi filtered stack of PALSAR backscatter from 2007 to 2010)
Google Earth 2007/02/07
PALSAR: Feature Extraction Linear features
Subset of PALSAR mosaic (Average De Grandi filtered stack of PALSAR backscatter from 2007 to 2010)
Google Earth 2007/02/07 Google Earth 2010/05/05
PALSAR: Feature Extraction Linear features
Subset of PALSAR mosaic (Average De Grandi filtered stack of PALSAR backscatter from 2007 to 2010)
Google Earth 2007/02/07 Google Earth 2010/05/05
PALSAR: Feature Extraction Linear features
Subset of PALSAR mosaic (Average De Grandi filtered stack of PALSAR backscatter from 2007 to 2010)
Google Earth 2007/02/07 Google Earth 2010/05/05
PALSAR: Feature Extraction Linear features
PALSAR: Feature Extraction Automatic Algorithm
PALSAR: Feature Extraction Automatic Algorithm
PALSAR: Feature Extraction Results
PALSAR: Feature Extraction Results
PALSAR: Feature Extraction Results
PALSAR: Feature Extraction Results
PALSAR: Feature Extraction Mosaic of North Sinai
Kompsat-2 RGB composite (NIR, Red, Green)
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
Google Earth 7 Feb 2007 Google Earth 1 Aug 2009
Multitemporal average of PALSAR dual pol (HH) backscatter amplitudes, ascending pass (9 scenes)
PALSAR: Artefacts
• Radio Frequency Interference
• Azimuth Ambiguity
• Atmospheric Effects (Dust Storms)
PALSAR: Feature Extraction Mosaic of North Sinai
PALSAR: Artefacts Radio Frequency Interference
PALSAR Polarimetric: HV PALSAR Polarimetric: VH
PALSAR: Feature Extraction Mosaic of North Sinai
PALSAR: Artefacts Dust Storms(?)
PALSAR: Feature Extraction Mosaic of North Sinai
PALSAR: Artefacts Azimuth Ambiguity(?)
PALSAR: Artefacts Azimuth Ambiguity(?)
Conclusions
• Work done: – Mosaic – Automatic feature extraction – More detailed SAR analysis over key areas:
• Coherence • Frequency • Polarimetry • Geometry
– Other datasets: • Archaeological charts • Optical data
• Observations: – PALSAR useful perhaps as first stage of research – Many artefacts, requires expert interpretation