Print Email Facebook Twitter Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP) Title Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution with Close Loop Priors (ICLP) Author Yao, Zhiyu (Beijing Institute of Technology) Hu, Weidong (Beijing Institute of Technology) Feng, Zhiyan (Beijing Institute of Technology) Zhang, Wenlong (The Hong Kong Polytechnic University) Liu, Yang (Chinese Academy of Sciences) Xu, Zhihao (Beijing Institute of Technology) Ligthart, L.P. (TU Delft EEMS - General) Date 2023 Abstract Passive multifrequency microwave sensors frequently struggle with difficulties of nonuniform spatial resolution among multiple channels. The raw measurements in the land-sea transition zone are seriously contaminated. Conventional analytical deconvolution techniques suffer from the tradeoff between spatial resolution enhancement and noise amplification, leading to low data integrity in the practical spatial resolution matching application. To provide multichannel microwave radiometer (MWR) data with matching levels of spatial resolution, a method based on iterative deconvolution with close loop priors (ICLP) is proposed. Specifically, a destriping module is first utilized as a preprocessing step to maintain high data integrity. Then, the close loop mechanism using sparse adaptive priors is proposed to balance the spatial resolution and data integrity enhancement. Also, progressively iterative deconvolution is introduced to realize controllable levels of spatial resolution enhancement (spatial resolution matching) for multichannel data to reach a consistent level. Experiments performed using both simulated and actual microwave radiation imager (MWRI) data demonstrate the validity and effectiveness of the method. Subject close loopData integrityDeconvolutionfengyun-3D (FY-3D)iterative deconvolutionMicrowave amplifiersMicrowave integrated circuitsmicrowave radiation imager(MWRI)Microwave radiometryMicrowave theory and techniquespriorsSpatial resolutionSpatial resolution matching To reference this document use: http://resolver.tudelft.nl/uuid:d73e9fce-c3c7-490b-861e-a6a6e151e721 DOI https://doi.org/10.1109/TGRS.2023.3291752 Embargo date 2024-01-03 ISSN 0196-2892 Source IEEE Transactions on Geoscience and Remote Sensing, 61, 1-14 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Zhiyu Yao, Weidong Hu, Zhiyan Feng, Wenlong Zhang, Yang Liu, Zhihao Xu, L.P. Ligthart Files PDF Spatial_Resolution_Matchi ... s_ICLP.pdf 9.96 MB Close viewer /islandora/object/uuid:d73e9fce-c3c7-490b-861e-a6a6e151e721/datastream/OBJ/view