scholarly journals Qualification and Validation of the performances of the SAR instrument on board PAZ

2016 ◽  
pp. 75
Author(s):  
J. Closa-Soteras ◽  
A. Zurita ◽  
J. Sánchez ◽  
M. Labriola ◽  
A. Solana
Keyword(s):  
High Resolution ◽  
Sar Images ◽  
High Quality ◽  
High Coverage ◽  
X Band ◽  
Very High ◽  
Primary Instrument

<p align="justify">PAZ is a satellite with a highly flexible X band SAR as primary instrument. The radar is capable of generating high quality SAR images with sizes ranging from 5 km to 200 km and resolutions from 30 m for products with high coverage to values around 1m or even in the order of several cm in the case of very high resolution products. This paper describes the validation activities and the expected quality performances based on the tests performed on-ground.</p>

Sub-urban landscape characterization by very high-resolution X-band COSMO-Skymed SAR images: first results

2010 ◽  
Author(s):  
Fabio Del Frate ◽  
Domenico Loschiavo ◽  
Chiara Pratola ◽  
Giovanni Schiavon ◽  
Domenico Solimini
Keyword(s):  
High Resolution ◽  
Urban Landscape ◽  
Sar Images ◽  
Landscape Characterization ◽  
X Band ◽  
First Results ◽  
Very High

scholarly journals Brief Communication: Rapid mapping of landslide events: the 3 December 2013 Montescaglioso landslide, Italy

2014 ◽  
Vol 14 (7) ◽  
pp. 1835-1841 ◽  
Author(s):  
A. Manconi ◽  
F. Casu ◽  
F. Ardizzone ◽  
M. Bonano ◽  
M. Cardinali ◽  
...  
Keyword(s):  
High Resolution ◽  
Synthetic Aperture Radar ◽  
Southern Italy ◽  
Surface Deformation ◽  
Synthetic Aperture ◽  
Sar Images ◽  
Main Road ◽  
Rapid Mapping ◽  
X Band ◽  
Sar Data

Abstract. We present an approach to measure 3-D surface deformations caused by large, rapid-moving landslides using the amplitude information of high-resolution, X-band synthetic aperture radar (SAR) images. We exploit SAR data captured by the COSMO-SkyMed satellites to measure the deformation produced by the 3 December 2013 Montescaglioso landslide, southern Italy. The deformation produced by the deep-seated landslide exceeded 10 m and caused the disruption of a main road, a few homes and commercial buildings. The results open up the possibility of obtaining 3-D surface deformation maps shortly after the occurrence of large, rapid-moving landslides using high-resolution SAR data.

scholarly journals Shoreline Extraction Based on an Active Connection Matrix (ACM) Image Enhancement Strategy

2019 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Sara Zollini ◽  
Maria Alicandro ◽  
María Cuevas-González ◽  
Valerio Baiocchi ◽  
Donatella Dominici ◽  
...  
Keyword(s):  
High Resolution ◽  
Anthropogenic Factors ◽  
Connection Matrix ◽  
Sar Images ◽  
Dynamic Algorithm ◽  
Water Index ◽  
Canny Edge ◽  
Experimental Algorithm ◽  
Changes Over Time ◽  
Very High

Coastal environments are facing constant changes over time due to their dynamic nature and geological, geomorphological, hydrodynamic, biological, climatic and anthropogenic factors. For these reasons, the monitoring of these areas is crucial for the safeguarding of the cultural heritage and the populations living there. The focus of this paper is shoreline extraction by means of an experimental algorithm, called J-Net Dynamic (Semeion Research Center of Sciences of Communication, Rome, Italy). It was tested on two types of image: a very high resolution (VHR) multispectral image (WorldView-2) and a high resolution (HR) radar synthetic aperture radar (SAR) image (Sentinel-1). The extracted shorelines were compared with those manually digitized for both images independently. The results obtained with the J-Net Dynamic algorithm were also compared with common algorithms, widely used in the literature, including the WorldView water index and the Canny edge detector. The results show that the experimental algorithm is more effective than the others, as it improves shoreline extraction accuracy both in the optical and SAR images.

Contextual Descriptors for Scene Classes in Very High Resolution SAR Images

2012 ◽  
Vol 9 (1) ◽  
pp. 80-84 ◽  
Author(s):  
Anca A. Popescu ◽  
Inge Gavat ◽  
Mihai Datcu
Keyword(s):  
High Resolution ◽  
Sar Images ◽  
Very High
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