PERFORMANCE EVALUATION OF HYBRID COMPRESSION TECHNIQUES ON HYPERSPECTRAL AND MULTISPECTRAL IMAGERY DATA

Abstract

Remote Sensing and Geosciences are the key application areas of multispectral and hyperspectral images but recently the trend has changed and these images are being increasingly used in other areas like biomedical engineering, forensic sciences, etc. A major difference between usual images and hyperspectral images are that the usual images are viewed by humans whereas the multispectral and hyperspectral images are processed using algorithms in order to identify and classify various materials. newlineGeographers and other geo-scientists have been exploiting an increasing newlinenumber of techniques to observe and describe our planet; the ability to capture, store, and analyze this information about our planet has rapidly increased from primitive newlineman and ancient civilizations to modern era. The primary method of acquiring data newlinewas manual surveying work in the field; the representation, the storage, and the newlineanalysis of geographic information was once in the form of different maps with text description. Today, coinciding with the development of science, technology, newlinecivilization, and especially computer science, space technology, electronic newlinecommunication technologies, as well as increasing requirements for information newlinescience has taken more advanced methods to observe the geographic phenomena, newlineobtain geographic data and record and present geographic information. We newlineincreasingly understand our universe and the Earth on which we live. There are more newlineadvanced tools to collect, store, retrieve, and analyze the collected data for a variety of applications. Since 1970s, remote sensing has become one of the most useful tools that geo-scientists use to recognize earth system processes and to capture geographic information throughout global, regional, and local scales. We can collect and process newlinemulti-scale, multi-phase, multi-spectrum, multi-temporal, and multi-dimensional newlinespatial data. Therefore this information collected by the use of modern technology has become an important data resource of Geographic Information System.