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10.1109/IGARSS47720.2021.9554064

Time-series of COSMO-SkyMed SAR images covering Wuhan from 2018 to 2020 were exploited to detect vessels.

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10.5194/EGUSPHERE-EGU21-15859

C-band Sentinel-1 and X-band COSMO-SkyMed SAR data acquired in 2014-2020 and 2012-2020, respectively, are considered.

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10.3390/rs13101963

The parallel performance of the implemented multithreading-based SAR image coregistration prototype processor is experimentally investigated and quantitatively assessed by processing high-resolution X-band COSMO-SkyMed SAR data and using two different multicore architectures.

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10.3390/rs13163318

The effectiveness of the proposed SAR radiometric calibration method is experimentally demonstrated by using COSMO-SkyMed SAR data acquired over a mountainous area in Italy.

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10.1016/J.PROCS.2021.01.299

Starting from 2007, the Italian Space Agency (ASI) has promoted the COSMO-SkyMed SAR data exploitation through several initiatives such as “Announcement of Opportunity”, “Open Call for Science” and “Open Call for National Small and Medium Enterprises (SMEs)”.

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10.1109/IGARSS47720.2021.9554260

This paper deals with the combination of multi-pass images obtained by COSMO-SkyMed SAR satellite over the urban area of Napoli.

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10.1016/j.jag.2020.102270

Multi-source InSAR measurements acquired from ascending and descending high-resolution COSMO-SkyMed SAR imagery are used to monitor Kīlauea volcano’s deformations.

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10.3390/rs13173509

The performances of the proposed approach are evaluated on multisensor pairs of COSMO-SkyMed SAR and Pléiades optical images acquired over Jérémie, in the aftermath of and during the three years after Hurricane Matthew.

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10.1109/IGARSS47720.2021.9554417

The scale invariant feature transform (SIFT) is used as a tool to track ISWs between unique pairs of COSMO-SkyMed SAR images acquired about 24 minutes apart.

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Keywords related to Sar

Wide Swath Sar Multisensor Sar Polarimetric Sar Multi Temporal Sar Alos 2 Sar Ms S Sar Kong Sar Multiplatform Sar Waveform Encoded Sar Geosynchronous Sar Dual Polarimetric Sar Sentinel 1 Sar Nasa Isro Sar Sentinel 1a B Sar Pipelined Sar Time Interleaved Sar Forward Looking Sar Multitemporal Sar Thz Sar Risat 1 Sar Power Sar P Band Sar Dual Polarized Sar Resolution Sar Cryosat 2 Sar Ultrawidebeam Sar Array Sar Distributed Sar Novel Sar Macao Sar Deep Sar Spaceborne Sar Rate Sar Marine Sar Preliminary Sar Grd Sar Quad Pol Sar Staggered Sar Bistatic Sar Multi Channel Sar Noise Shaping Sar Squinted Sar Spotlight Sar Multibaseline Sar Geo Sar Airborne Sar Sentinel 1a Sar Mimo Sar Macau Sar Formation Flying Sar Explore More

Cosmo Skymed Sar

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Mar 20, 2023

What is/are Cosmo Skymed Sar?

Cosmo Skymed Sar - Time-series of COSMO-SkyMed SAR images covering Wuhan from 2018 to 2020 were exploited to detect vessels. ^[1] C-band Sentinel-1 and X-band COSMO-SkyMed SAR data acquired in 2014-2020 and 2012-2020, respectively, are considered. ^[2] The parallel performance of the implemented multithreading-based SAR image coregistration prototype processor is experimentally investigated and quantitatively assessed by processing high-resolution X-band COSMO-SkyMed SAR data and using two different multicore architectures. ^[3] The effectiveness of the proposed SAR radiometric calibration method is experimentally demonstrated by using COSMO-SkyMed SAR data acquired over a mountainous area in Italy. ^[4] Starting from 2007, the Italian Space Agency (ASI) has promoted the COSMO-SkyMed SAR data exploitation through several initiatives such as “Announcement of Opportunity”, “Open Call for Science” and “Open Call for National Small and Medium Enterprises (SMEs)”. ^[5] This paper deals with the combination of multi-pass images obtained by COSMO-SkyMed SAR satellite over the urban area of Napoli. ^[6] Multi-source InSAR measurements acquired from ascending and descending high-resolution COSMO-SkyMed SAR imagery are used to monitor Kīlauea volcano’s deformations. ^[7] The performances of the proposed approach are evaluated on multisensor pairs of COSMO-SkyMed SAR and Pléiades optical images acquired over Jérémie, in the aftermath of and during the three years after Hurricane Matthew. ^[8] The scale invariant feature transform (SIFT) is used as a tool to track ISWs between unique pairs of COSMO-SkyMed SAR images acquired about 24 minutes apart. ^[9]