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AUTOMATIC ASSESSMENT OF ACQUISITION AND TRANSMISSION LOSSES IN INDIAN REMOTE SENSING SATELLITE DATA
2016
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The quality of Remote Sensing data is an important parameter that defines the extent of its usability in various applications. The data from Remote Sensing satellites is received as raw data frames at the ground station. This data may be corrupted with data losses due to interferences during data transmission, data acquisition and sensor anomalies. Thus it is important to assess the quality of the raw data before product generation for early anomaly detection, faster corrective actions and
doi:10.5194/isprs-annals-iii-1-129-2016
fatcat:kltrdibm75hy7ha3x7owjkfkna