• Title/Summary/Keyword: X-SAR

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Assessment of DEM Generated by Stereo C-band and X-band SAR images using Radargrammetry (Radargrammetry를 이용한 C-밴드 및 X-밴드 SAR 위성영상의 DEM 생성 평가)

  • Song, Yeong Sun;Kim, Gi Hong
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.4
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    • pp.109-116
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    • 2013
  • To extract the 3D geometric information from SAR(Synthetic Aperture Radar) images, two different techniques, interferometric SAR and radargrammetry, have been widely used. InSAR is most widely used for the generation of precise DEM(Digital Elevation Model) until now. But, Interferometric SAR requires severe temporal correlation over areas covered with vegetation and high relief areas. Because radargrammetry is less sensible to temporal correlation, it can provide better results than interferometric SAR in certain, especially X-band SAR. In this paper, we assess the properties of DEMs generated by radargrammetry using stereo C-band RADARSAT-1 images and X-band TerraSAR-X images.

Wind Retrieval from X-band SAR Image Using Numerical Ocean Scattering Model

  • Kim, Duk-Jin
    • Korean Journal of Remote Sensing
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    • v.25 no.3
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    • pp.243-253
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    • 2009
  • For the last 14 years, space-borne satellite SAR system such as RADARSAT-1, ERS-2, and ENVISAT ASAR have provided a continuous observation over the ocean. However, the data acquired from those systems were limited to C-band frequency until the advent of the first spacebome German X-band SAR system TerraSAR-X in 2007. Korea is also planning to launch the nation's first X-band SAR satellite (KOMPSAT-5) in 2010. It is timely and necessary to develop X-band models for estimating geophysical parameters from these X-band SAR systems. In this study, X-band wind retrieval model was investigated and developed based on numerical ocean scattering model (radar backscattering model and hydrodynamic interaction model). Although these models have not yet been tested and validated for broad ranges of wind conditions, the estimated wind speeds from TerraSAR-X data show generally good agreement with in-situ measurements.

Evaluation of 3D-Positioning Method Using X-band SAR Satellite Images - Focused on InSAR, Radargrammetry and RPC (X-band SAR 위성영상의 3차원 위치결정 기법 평가 - 레이더 간섭기법, Radargrammetry, RPC를 중심으로)

  • Song, Yeong Sun;Lee, Jung Han;Jang, In Tae
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.117-125
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    • 2014
  • Korea's first X-band SAR satellite KOMPSAT-5 has been launched in 2013, so the research related to the X-band SAR satellite image is required to increase the utilization of KOMPSAT-5. In this study, we generated a DEM(Digital Elevation Model) using X-band SAR satellite images based on three methods which are InSAR, radargrammetry and RPC(Rational Polynomial Coefficients), and evaluated the performance of each methods. The four stripmap mode TerraSAR-X images taken in Daejeon were used to generate DEM, and accuracy was evaluated using DEM by IKONOS RPC. As results, DEM produced by the InSAR showed the highest accuracy. Also, we knew that RPC could be effective method if you want to create a large area DEM which contains the various elevation.

Persistent Scatterer Selection and Network Analysis for X-band PSInSAR (X-band PSInSAR를 위한 고정산란체 추출 및 네트워크 분석 기법)

  • Kim, Sang-Wan;Cho, Min-Ji
    • Korean Journal of Remote Sensing
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    • v.27 no.5
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    • pp.521-534
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    • 2011
  • The high-resolution X-band SAR systems such as COSMO-SkyMED and TerraSAR-X have been launched recently. In addition KOMPSAT-5 will be launched in the early of 2012. In this study we developed the new method for persistent scatterer candidate (PSC) selection and network construction, which is more suitable for PSInSAR analysis using multi-temporal X-band SAR data. PSC selection consists in two main steps: first, selection of initial PSCs based on amplitude dispersion index, mean amplitude, mean coherence. second, selection of final PSCs based on temporal coherence directly estimated from network analysis of initial PSCs. To increase the stability of network the Multi- TIN and complex network for non-urban area were addressed as well. The proposed algorithm was applied to twenty-one TerraSAR-X SAR of New Orleans. As a result many PSs were successfully extracted even in non-urban area. This research can be used as the practical application of KOMPSAT-5 for surface displacement monitoring using X-band PSInSAR.

Extraction of Waterline from X-band Satellite SAR Images (X-밴드 위성 SAR 영상을 이용한 수위선 탐지)

  • Lee, Kyung-Yup;Kim, Youn-Soo
    • Aerospace Engineering and Technology
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    • v.10 no.2
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    • pp.163-169
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    • 2011
  • This paper introduces a method about water line detection using SAR image. The method includes pre-processing of the SAR image with the threshold of the histogram to recognize the boundary between the water and the landmass area. Finally we applied the image differentiation to detect the water line in the SAR image. The TerraSAR-X and the Cosmo-SkyMed images, which are the high spatial resolution X-band SAR data, are used for the evaluation of our algorithm. The accuracy is verified over the stream line in urban area with the result from the Cosmo-SkyMed.

High Resolution InSAR Phase Simulation using DSM in Urban Areas (도심지역 DSM을 이용한 고해상도 InSAR 위상 시뮬레이션)

  • Yoon, Geun-Won;Kim, Sang-Wan;Lee, Yong-Woong;Lee, Dong-Cheon;Won, Joong-Sun
    • Korean Journal of Remote Sensing
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    • v.27 no.2
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    • pp.181-190
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    • 2011
  • Since the radar satellite missions such as TerraSAR-X and COSMO-SkyMed were launched in 2007, the spatial resolution of spaceborne SAR(Synthetic Aperture Radar) images reaches about 1 meter at spotlight mode. In 2011, the first Korean SAR satellite, KOMPSAT-5, will be launched, operating at X-band with the highest spatial resolution of 1 m as well. The improved spatial resolution of state-of-the-art SAR sensor suggests expanding InSAR(Interferometric SAR) analysis in urban monitoring. By the way, the shadow and layover phenomena are more prominent in urban areas due to building structure because of inherent side-looking geometry of SAR system. Up to date the most conventional algorithms do not consider the return signals at the frontage of building during InSAR phase and SAR intensity simulation. In this study the new algorithm introducing multi-scattering in layover region is proposed for phase and intensity simulation, which is utilized a precise LIDAR DSM(Digital Surface Model) in urban areas. The InSAR phases simulated by the proposed method are compared with TerraSAR-X spotlight data. As a result, both InSAR phases are well matched, even in layover areas. This study will be applied to urban monitoring using high resolution SAR data, in terms of change detection and displacement monitoring at the scale of building unit.

SURFACE DEFORMATION MONITORING USING TERRASAR-X INTERFEROMETRY

  • Kim, Sang-Wan;Wdowinski, Shimon;Dixon, Tim
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.422-425
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    • 2008
  • TerraSAR-X is new radar satellite operated at X-band, multi polarization, and multi beam mode. Compared with C-band or L-band SAR, the X-band system inherently suffers from more temporal decorrelation, but is more sensitive to surface deformation monitoring due to short wavelength (3.1 cm) and high spatial resolution (1m-3m). It is generally expected that sensitivity to estimate surface movement using TerraSAR-X will be increased by the factor of 10, compared to current C-band system with low spatial resolution such as ERS-2, Envisat. Many urban areas are experiencing land subsidence due to water, oil and natural gas withdrawal, underground excavation, sediment compaction, and so on. Monitoring of surface deformation is valuable for effectively limiting damage areas. In addition high accuracy and spatially dense subsidence map can be achieved by X-band InSAR observation, promoting identification and separation of various subsidence processes and leading to enhanced understanding via mechanical modeling. In this study we will introduce some initial InSAR results using new TerraSAR-X SAR data for surface deformation monitoring.

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Relationship between forest characteristics and SAR volume scattering from multi bands (SAR 자료의 밴드간 특성과 산림 특성과의 관련성 연구)

  • Yoon, Jong-Suk;Shin, Jung-Il;Kim, Du-Ra;Lee, Kyu-Sung
    • Proceedings of the KSRS Conference
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    • 2008.03a
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    • pp.153-157
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    • 2008
  • 기상상태에 관계없이 데이터를 획득할 수 있는 Synthetic Aperture Radar (SAR)는 산림 분야에서 C, L, P 밴드의 자료가 많이 연구되어 왔다. 특히 밴드 간에 산림 지역에서 수관을 투과하는 특성이 뚜렷하게 나타나고 있다. X밴드의 경우는 C, L, P 밴드에 비하여 수관 표면에서 backscattering이 일어나게 되므로 수종을 분류하게 되는데 더 큰 장점을 가질 수 있으나 지금까지 산림 분야에서는 X 밴드의 SAR 자료가 활발히 연구되어 오고 있지 않다. 이 연구는 X밴드 SAR자료의 산림 분야의 활용성을 검토해보는 목적으로 1994년 10월 3일에 동시 촬영된 SIR-C/X-SAR 자료의 L, C와 X 밴드의 backscattering coefficients의 차이점을 통해서 수관 밀도나 다른 산림 특성과의 연관성을 살펴보고자 한다. 연구지역은 국립산림과학원에 의하여 관리되고 있는 광릉 지역으로서 그 지역의 산림에 대한 정밀한 자료를 분석에 활용하여 SAR 자료의 밴드별 파장과 산림피복의 특성에 따른 연관성에 대해 분석하였다.

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Urban Area Building Reconstruction Using High Resolution SAR Image (고해상도 SAR 영상을 이용한 도심지 건물 재구성)

  • Kang, Ah-Reum;Lee, Seung-Kuk;Kim, Sang-Wan
    • Korean Journal of Remote Sensing
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    • v.29 no.4
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    • pp.361-373
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    • 2013
  • The monitoring of urban area, target detection and building reconstruction have been actively studied and investigated since high resolution X-band SAR images could be acquired by airborne and/or satellite SAR systems. This paper describes an efficient approach to reconstruct artificial structures (e.g. apartment, building and house) in urban area using high resolution X-band SAR images. Building footprint was first extracted from 1:25,000 digital topographic map and then a corner line of building was detected by an automatic detecting algorithm. With SAR amplitude images, an initial building height was calculated by the length of layover estimated using KS-test (Kolmogorov-Smirnov test) from the corner line. The interferometric SAR phases were simulated depending on SAR geometry and changable building heights ranging from -10 m to +10 m of the initial building height. With an interferogram from real SAR data set, the simulation results were compared using the method of the phase consistency. One of results can be finally defined as the reconstructed building height. The developed algorithm was applied to repeat-pass TerraSAR-X spotlight mode data set over an apartment complex in Daejeon city, Korea. The final building heights were validated against reference heights extracted from LiDAR DSM, with an RMSE (Root Mean Square Error) of about 1~2m.

A Study on RFM Based Stereo Radargrammetry Using TerraSAR-X Datasets (스테레오 TerraSAR-X 자료를 이용한 RFM 기반 Radargrammetry에 관한 연구)

  • Bang, SooNam;Koh, JinWoo;Yun, KongHyun;Kwak, JunHyuck
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.1D
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    • pp.89-94
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    • 2012
  • The RFM (Rational Function Model), as an alternative to physical sensor models has been widely used for photogrammetric processing of high resolution optical satellite imagery. However, the application of RF modeling to the SAR (Synthetic Aperture Radar) is very limited. In this paper, stereo radargrammetric processing of TerraSAR-X stereo pairs with RFM is implemented and analyzed. The investigation has shown that the accuracy of TerraSAR-X DSM is similar to that of the commercial S/W product. Finally, it is demonstrated that RFM is effective and feasible in the application to the radargrammetric SAR image processing.