Speckle Suppression and Analysis for Polarimetric SAR Imagery

نویسندگان

  • Ken Yoong Lee
  • Timo Rolf Bretschneider
چکیده

This paper addresses ship target detection in dual-frequency singlepolarization and fully polarimetric SAR data by using a global thresholding approach. The corresponding threshold values were determined from the gamma distribution (for single-polarization SAR data) and the chi-squared distribution (for fully polarimetric SAR data). Based on the experimental results, which were obtained from nine-look NASA/JPL AIRSAR POLSAR data, the complementary use of both the Cand L-band was found to remove ghost ships (due to azimuth ambiguity) and improve the resolution of ship targets. Moreover, it was observed that the use of fully polarimetric SAR information reduced undesired artifacts, which were particularly noticeable in the C-band single-polarization outputs. Index TermsPOLSAR, ship detection, global thresholding, statistical distribution, Wilks’ lambda

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Lincoln Laboratory SAR: System Description and Polarimetric Processing Results

MIT Lincoln Laboratory is investigating the detection and identification of stationary ground targets in high resolution, fully polarimetric, synthetic aperture radar (SAR) imagery. This paper: (1) provides a brief description of the Lincoln Laboratory SAR, (2) describes an optimum polarimetric processing technique used to construct minimum-speckle SAR intensity imagery, and (3) presents an exa...

متن کامل

Principal Component Analysis for Change Detection on Polarimetric Multitemporal SAR Data

Principal component analysis (PCA) is applied to investigate on changes occurring in multitemporal polarimetric SAR imagery. Correlation instead of covariance matrix is used in the transformation, thus reducing gain variations introduced by the imaging system and giving equal weight to each polarization. The approach is effective when PCA is computed on images rccordcd simultaneously, as well a...

متن کامل

Image Enhancement and Speckle Reduction of Full Polarimetric Sar Data by Gaussian Markov Random Field

In recent years, the use of Polarimetric Synthetic Aperture Radar (PolSAR) data in different applications dramatically has been increased. In SAR imagery an interference phenomenon with random behavior exists which is called speckle noise. The interpretation of data encounters some troubles due to the presence of speckle which can be considered as a multiplicative noise affecting all coherent i...

متن کامل

Optimal Processing of Polarimetric Synthetic-Aperture Radar Imagery

The Advanced Detection Technology Sensor can detect, discriminate, and classify stationary ground targets—during the day or night—even through cloud cover, fog, smoke, dust, or rain. The sensor is a coherent, fully polarimetric, 35-GHz syntheticaperture radar (SAR) with a resolution of 1 ft × 1 ft. And, to minimize SAR speckle while preserving image resolution, it uses the polarimetric whitenin...

متن کامل

Road Extraction from Multi-frequency and Polarimetric Sar Imagery

Automatic extraction of linear topographic objects, such as, roads, rivers, or power lines, is an important topic for topographic mapping. In case of roads, an automatic extraction from Synthetic Aperture Radar (SAR) imagery is rather difficult, due to the speckle effect and the limited spatial resolution in relation to the road width. In this paper we investigate the additional use of multifre...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011