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Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments.

, , , and . ICASSP, page 784-788. IEEE, (2014)

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Towards super-resolution recovery of microwave sensor imagery: A unified descriptive experiment design regularization framework with projections onto nested resolution frames., , and . IGARSS, page 133-136. IEEE, (2014)Unified descriptive experiment design regularization and component dictionary-based image restoration approach for enhanced radar/SAR sensing., , and . IGARSS, page 2433-2436. IEEE, (2015)Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments., , , and . ICASSP, page 784-788. IEEE, (2014)Solving Enhanced Radar Imaging Inverse Problems: From Descriptive Regularization to Feature Structured Superresolution Sensing., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (12): 5467-5481 (2016)Radar/SAR Image Resolution Enhancement via Unifying Descriptive Experiment Design Regularization and Wavelet-Domain Processing., , , and . IEEE Geosci. Remote. Sens. Lett., 13 (2): 152-156 (2016)High-resolution recovery of spatial reflectivity maps in Harsh remote sensing scenarios: A metrically structured experiment design regularization approach., , and . CONIELECOMP, page 225-229. IEEE, (2013)A Novel Neural Network Computing Based Way to Sensor and Method Fusion in Harsh Operational Environments., , and . ANNIIP, page 19-26. SciTePress, (2014)Multiframe resolution recovery of radar imagery: Towards super-resolution sensing., , and . IGARSS, page 4487-4490. IEEE, (2015)Texture Analysis of Mean Shift Segmented Low-Resolution Speckle-Corrupted Fractional SAR Imagery through Neural Network Classification., , and . CIARP, volume 8827 of Lecture Notes in Computer Science, page 998-1005. Springer, (2014)