Normalization and interpretation of radar images

نویسندگان
چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Classification of polarimetric radar images based on SVM and BGSA

Classification of land cover is one of the most important applications of radar polarimetry images. The purpose of image classification is to classify image pixels into different classes based on vector properties of the extractor. Radar imaging systems provide useful information about ground cover by using a wide range of electromagnetic waves to image the Earthchr('39')s surface. The purpose ...

متن کامل

Interpretation of Radar Image Sequences

In this paper we discuss our work with agent-based image processing systems, and describe work in progress applying these concepts to meteorological data sets, especially radar. Radar is particularly amenable to image processing, being structured in 2, 3 or 4 dimensions, and conveying reflectivity or velocity information. We discuss a number of existing meteorological radar image processing sys...

متن کامل

Spatial registration and normalization of images

This paper concerns the spatial and intensity transformations that map one image onto another. We present a general technique that facilitates nonlinear spatial (stereotactic) normalization and image realignment. This technique minimizes the sum of squares between two images following nonlinear spatial deformations and transformations of the voxel (intensity) values. The spatial and intensity t...

متن کامل

Spatial normalization of brain images and beyond

The deformable atlas paradigm has been at the core of computational anatomy during the last two decades. Spatial normalization is the variant endowing the atlas with a coordinate system used for voxel-based aggregation of images across subjects and studies. This framework has largely contributed to the success of brain mapping. Brain spatial normalization, however, is still ill-posed because of...

متن کامل

Semantic Interpretation of Images

Content-based image retrieval (CBIR) selects, from a repository, those images whose content matches a query. In current approaches queries can be example pictures, object descriptions, or picture types. The answer contains the pictures which are similar to the given example, or that contain the described object, or which is of the specified type. Semantic CBIR allows queries to be complex expre...

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

ژورنال

عنوان ژورنال: IEEE Transactions on Antennas and Propagation

سال: 1998

ISSN: 0018-926X

DOI: 10.1109/8.664113