Question
Trends in microwave data preprocessing
Answer :
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Microwave remote sensing data preprocessing has evolved significantly to support high-precision analysis in diverse applications such as soil moisture estimation, crop monitoring, oceanography, and disaster management. A major trend is advanced radiometric calibration, which corrects sensor-induced distortions, thermal noise, and system bias to ensure consistency across time and sensors. This is particularly important for long-term datasets from active sensors like Synthetic Aperture Radar and passive microwave radiometers. Another key trend is improved geometric correction and terrain normalization. Techniques such as Range-Doppler correction, orthorectification using high-resolution Digital Elevation
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