DESIGN QUALITY METRICS FOR REMOTE SENSING APPLICATIONS

Abstract

Remote Sensing is vital for data acquisition and interpretation of information for
subsequent use about an object or phenomenon which is not in physical contact. Remote sensing
activity caters heterogeneous, temporal/spatial nature and huge amount of data; therefore remote
sensing systems must be reliable and bear a good quality. Design metrics can be helpful to measure
the quality and efficiency of a system. The design metrics for conventional application areas are
unsuitable due to peculiar characteristics of remote sensing applications/systems. To address the
quality and efficiency issues we have proposed novel design quality metrics for remote sensing
applications in this study.