Evolutionary RBF classifier for polarimetric SAR images
نویسندگان
چکیده
0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.09.082 ⇑ Corresponding author. Tel.: +9
منابع مشابه
Classification of Polarimetric SAR Images Using Evolutionary RBF Neural Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covariance matrix, the gray level co-occurrence matrix (GLCM) based texture features, and the backscattering power (Span) combined with the H/α /A decomposition, which are projected onto a lower dimensional feature space us...
متن کاملPolarimetric SAR Image Classification Using Radial Basis Function Neural Network
This paper presents a robust radial basis function (RBF) network based classifier for polarimetric synthetic aperture radar (SAR) images. The proposed feature extraction process utilizes the covariance matrix, the gray level co-occurrence matrix (GLCM) based texture features, and the backscattering power (Span) combined with the H/α/A decomposition, which are projected onto a lower dimensional ...
متن کاملOptimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach
In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which cont...
متن کاملCollective Network of Evolutionary Binary Classifiers for Polarimetric Sar Images
In this paper, we propose a collective network of (evolutionary) binary classifiers (CNBC) to achieve feature/class scalability, feature selection and classifier evolution for efficient classification of polarimetric SAR images. The main goal is to maximize the classification performance even though the training (ground truth) data may not be entirely accurate. The CNBC basically adopts a “Divi...
متن کاملThe Extended Sub-look Analysis In Polarimetric SAR Data For Ship Detection
The monitoring of maritime areas with remote sensing is essential for security reasons and also for the conservation of environment. The synthetic aperture radar (SAR) can play an important role in this matter by considering the possibility of acquiring high-resolution images at nighttime and under cloud cover. Recently, the new approaches based on the sub-look analysis for preserving the infor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Expert Syst. Appl.
دوره 39 شماره
صفحات -
تاریخ انتشار 2012