نتایج جستجو برای: سنجنده terrasar x

تعداد نتایج: 624872  

2014
Pau Prats-Iraola Marc Rodriguez-Cassola Francesco De Zan

This contribution addresses several important aspects that need to be considered for the processing of spaceborne SAR data with a resolution in the decimeter range (at X-band). In particular, it will be shown how the motion of the satellite during the transmission/reception of the chirp signal and the effect of the troposphere deteriorate the impulse response function if not properly considered...

در سال­های اخیر داده­های راداری به منظور استخراج عوارض مورد استفاده و توجه قرار گرفته­اند. مستقل بودن سنجنده­های راداری از شرایط آب و هوایی و تابش خورشیدی در کنار قابلیت نفوذ امواج ماکروویو در بسیاری از عوارض زمینی، باعث شده است استفاده از آنها در زمینه طبقه بندی عوارض زمینی شدت یابد. در این میان اطلاعات جمع آوری شده توسط سیستم­های سنجش از دوری راداری بسیار متفاوت از سنجنده­های معمول نوری است ک...

Journal: :Earth Science Informatics 2015
George Benekos Konstantinos Derdelakos Christos Bountzouklis Penelope Kourkouli Issaak S. Parcharidis

The island of Cephalonia, Western Greece, was struck by two strong seismic events, with magnitudes, ML= 5.8 and ML = 5.7 which occurred on Jan. 26, 2014 and Feb. 3, 2014 respectively. The first event was located near Argostoli’s town, whereas the second one was located at the north part of Livadi village. These two strong earthquake events followed by smaller aftershocks provoking extensive cru...

2003
Josef Mittermayer Richard Lord

This paper describes the sliding spotlight algorithm and the processing strategy to be applied for TerraSAR-X. The steering spotlight geometry is analysed. Analysis of scene size and resolution demonstrates the particularities of this mode. The Doppler frequencies for individual targets and for a whole sliding spotlight scene are analyzed and the result shows the applicability of azimuth subape...

2009
Dana Floricioiu Nestor Yague-Martinez Kenneth Jezek Michael Eineder Katy Farness

Two methods for derivation of surface ice velocity from SAR data are presented. They are applied to the RAMP Glacier in East Antarctica, which was imaged in repeat pass by TerraSAR-X in 2008 as part of the International Polar Year (IPY). Coregistration methods and an algorithm to improve the interferometric phase quality are described. The accuracy of speckle tracking and interferometric phasee...

2010
Pralhad UPRETY Fumio YAMAZAKI

The L’Aquila earthquake of magnitude 5.8 occurred on April 6, 2009 in the central Abruzzo region of Italy, causing widespread damage. More than 300 people lost their lives and property worth more than 2,500 million dollars was damaged. We analyze the high-resolution Synthetic Radar Aperture (SAR) imageries from TerraSAR-X along with high-resolution QuickBird optical images for the building dama...

Journal: :Remote Sensing 2014
Julie Betbeder Jean Nabucet Eric Pottier Jacques Baudry Samuel Corgne Laurence Hubert-Moy

Whilst most hedgerow functions depend upon hedgerow structure and hedgerow network patterns, in many ecological studies information on the fragmentation of hedgerows network and canopy structure is often retrieved in the field in small areas using accurate ground surveys and estimated over landscapes in a semi-quantitative manner. This paper explores the use of radar SAR imagery to (i) detect h...

2011
F. Bovenga V. M. Giacovazzo A. Refice N. Veneziani D. Derauw R. Vitulli

The Multi-Chromatic Analysis, as introduced in [1], consists in performing a spectral decomposition of each image of an interferometric pair. Spectral decomposition is performed extracting sub-bands in range frequency domain, each extracted sub-band leading to a range sub-look of the observed scene, here named a chromatic view, centered on its own carrier frequency but at lower range resolution...

2011
Sascha Klemenjak Björn Waske

To segment a image with strongly varying object sizes results generally in under-segmentation of small structures or over-segmentation of big ones, which consequences poor classification accuracies. A strategy to produce multiple segmentations of one image and classification with support vector machines (SVM) of this segmentation stack afterwards is shown.

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