R ecognition of o cclude d obje cts in synthetic ap erture radar (SAR) images is a signi cant problem for automatic target recognition. In this paper, we present a hidden Markov modeling (HMM) based approach for recognizing objects in synthetic ap ertur eradar (SAR) images. We identify the peculiar char acteristics of SAR sensors and using these characteristics we develop featur ebased multiple...

Due to the special imaging model of SAR, its image includes certain special information that unavailable in multispectral image, however, the interpretation of SAR image becomes more difficult than visible image. Therefore, the fusion of SAR image and multispectral image is primarily for the purpose of making better use of SAR image information. For this application, the autoadaptive informatio...

Research on the utility of Synthetic Aperture Radar (SAR) data in many diverse applications has seen great activity in the past decade. In particular, two powerful SAR techniques emerged during this time. Polarimetric SARS were frost demonstrated during the 1980’s and is described by van Zyl et al. [1] and Zebker et al. [2]. Since then polarimetric SAR data have been applied to most disciplines...

Strain is an important parameter for assessing the potential impacts resulting from mine subsidence movements. However, strain resulting from mine subsidence is also one of the most difficult parameters to predict accurately. A number of methods can be used to predict strain, from simple empirical relationships, to more complex statistical approaches. This paper looks at some of these predictio...

Hobert Knox, m.d. (Edin.), m.r.c.s. (Eng.), l.r c.p (Lond ), etc. Part II. Radio-Therapeutics. Tbie first edition of the work of which this book is Vol. II of the second edition, at once made its mark as a work of reference for the practical worker in a branch of therapeutics which is teeming with interest and suggestive of great possibilities. There is a good deal of new matter in this edition...

Automatic target recognition (ATR) in synthetic aperture radar (SAR) images plays an important role in both national defense and civil applications. Although many methods have been proposed, SAR ATR is still very challenging due to the complex application environment. Feature extraction and classification are key points in SAR ATR. In this paper, we first design a novel feature, which is a hist...

In this paper, the synthetic aperture radar (SAR) process of Hie ocean surface mapping is studied using a decomposition based on a Volterra model. By a mathematical expansion of the complex exponential of the complete SAR transform, these models decompose the nonlinear distortion mechanisms of the SAR spectrum over different spectra of polynomial interactions. Thus, they offer an alternative mo...