Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 60, Issue -, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2022.3163522
Keywords
Spatial resolution; Radiometers; Microwave measurement; Antenna measurements; Temperature measurement; Microwave theory and techniques; Microwave radiometry; Conical scan; deconvolution; inverse problem; microwave radiometer (MWR); multi-channel data fusion; resolution enhancement
Categories
Funding
- GNCS-INDAM, Italy
Ask authors/readers for more resources
This study investigates the ability to enhance the spatial resolution of measurements collected by a conical-scanning microwave radiometer (MWR) through simulated and actual brightness temperature profiles. The results show that regularization is necessary for high overlapping/low spatial resolution cases and can improve the spatial resolution up to 2.34. However, it also introduces noise amplification.
The ability to enhance the spatial resolution of measurements collected by a conical-scanning microwave radiometer (MWR) is discussed in terms of noise amplification and improvement of the spatial resolution. Simulated (and actual) brightness temperature profiles are analyzed at variance of different intrinsic spatial resolutions and adjacent beams overlapping modeling a simplified 1-D measurement configuration (MC). The actual measurements refer to Special Sensor Microwave Imager (SSM/I) data collected using the 19.35 and the 37.00 GHz channels that match the simulated configurations. The reconstruction of the brightness profile at enhanced spatial resolution is performed using an iterative gradient method which allows a fine tuning of the level of regularization. Objective metrics are introduced to quantify the enhancement of the spatial resolution and noise amplification. Numerical experiments, performed using the simplified 1-D MC, show that the regularized deconvolution results in negligible advantages when dealing with low-overlapping/fine-spatial-resolution configurations. Regularization is a mandatory step when addressing the high-overlapping/low-spatial-resolution case and the spatial resolution can be enhanced up to 2.34 with a noise amplification equal to 1.56. A more stringent requirement on the noise amplification (up to 0.6) results in an improvement of the spatial resolution up to 1.64.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available