Automatic Classification of Remote Sensing Images Using Multiple Classifier Systems
نویسندگان
چکیده
منابع مشابه
Remote Sensing Classification of Spectral, Spatial and Contextual Data Using Multiple Classifier Systems
This study promotes the use of a multiclassifier system (MCS) fed with high-resolution remote sensing data coupled with contextual and textural data in the domain of land cover and land use classification. The gain of this approach is shown by a favorable comparison of our BAGFS classifier (a mixture of bagging and feature subset classifier) over two single classifier techniques (5-NN and C4.5 ...
متن کاملMultiple Classifier System for Remote Sensing Image Classification: A Review
Over the last two decades, multiple classifier system (MCS) or classifier ensemble has shown great potential to improve the accuracy and reliability of remote sensing image classification. Although there are lots of literatures covering the MCS approaches, there is a lack of a comprehensive literature review which presents an overall architecture of the basic principles and trends behind the de...
متن کاملEvaluation of Multiple Classifier Combination Techniques for Land Cover Classification Using Multisource Remote Sensing Data
Use of multisource remote sensing data, particularly Synthetic Aperture Radar (SAR) and optical images, can improve performance of land cover classification since many types of information are involved in the classification process. Recently, the multiple classification systems (MCS) or ensemble classifiers has been developed and increasingly used for classifying remote sensing data. It is cons...
متن کاملContextual Classification of Hyperspectral Remote Sensing Images Using SVM-PLR
In this paper, we propose a novel contextual classification of hyperspectral data. We use probabilistic label relaxation (PLR) process to incorporate context information into the spectral pixelwise classification procedure. In conventional PLR procedure, first a maximum likelihood classification is performed and class probabilities are computed by using multivariate normal models. However this ...
متن کاملMultimodal Classification of Remote Sensing Images
Remote Sensing Images (RSIs) have been used as a major source of data, particularly with respect to the creation of thematic maps. This process is usually modeled as a supervised classification problem where the system needs to learn the patterns of interest provided by the user and assign a class to the rest of the image regions. Associated with the nature of RSIs, there are several challenges...
متن کاملذخیره 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: Mathematical Problems in Engineering
سال: 2015
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2015/954086