Solution to Joint Entropy and Its Applications in Remote Sensing
نویسندگان
چکیده
Based on Shannon’s theory, joint entropy is a statistical mean of information content and could be employed to evaluate image information. However, the computation complexity of joint entropy affects its applications in remote sensing. In this paper, a method with an index data structure to solve this problem is introduced, and in comparison with other methods, joint entropy calculated by the new solution reaches on consistent, or even better results in application to optimum band selection and quality assessment of image fusion.
منابع مشابه
Introducing Satellite Remote Sensing Systems and its Application in Archaeology Case Study: Behshahr Plain- Mazandaran
Human groups have considered the Behshahr plain of Mazandaran in the past Due to its particular geographical shape, location between the Caspian Sea and mountains, and the existence of some rivers in the region. However, our knowledge of this area is limited to several published surveys and archaeological investigation of its ancient sites. No detailed research has conducted on the formation of...
متن کاملRemote sensing application in evaluation of soil characteristics in desert areas
Soil is one of the most important natural resources covering a large area of the land surface. Soil plays a vital role in biosphere processes, such as energy balance, hydrology, biochemistry, and biological productivity. It supports plants that supply foods, fibers, drugs, and some other human needs. Conversely, desert regions include about one third of earth lands and these regions have increa...
متن کاملSpatio-temporal distribution of off-shore ships in the Pars Special Economic Energy Zone based on satellite imagery
Special Economic Zones (SEZs) are areas controlled by specific legislations so as toattain economic prosperity. These zones are commonly established and controlled bygovernment officials and are primarily characterized by growing population and developingtransport infrastructure. One relevant case is the Pars Special Economic Energy Zone(PSEEZ) situated in the south of Iran, on the northern sho...
متن کاملPerformance Evaluation of Local Detectors in the Presence of Noise for Multi-Sensor Remote Sensing Image Matching
Automatic, efficient, accurate, and stable image matching is one of the most critical issues in remote sensing, photogrammetry, and machine vision. In recent decades, various algorithms have been proposed based on the feature-based framework, which concentrates on detecting and describing local features. Understanding the characteristics of different matching algorithms in various applications ...
متن کاملRemote Sensing and Land Use Extraction for Kernel Functions Analysis by Support Vector Machines with ASTER Multispectral Imagery
Land use is being considered as an element in determining land change studies, environmental planning and natural resource applications. The Earth’s surface Study by remote sensing has many benefits such as, continuous acquisition of data, broad regional coverage, cost effective data, map accurate data, and large archives of historical data. To study land use / cover, remote sensing as an effic...
متن کامل