A Fast and Effective Irregular Stripe Removal Method for Moon Mineralogy Mapper (M

Hyperspectral imagery (HSI) is one of the emerging tools to explore the physical properties and chemical composition of the lunar surface. Moon mineralogy mapper (M³) is the most widely used lunar HSI data set with the widest coverage and the excellent resolution; however, dense and nonperiodic stripes distributed across all bands in M³ images hinder visual interpretation as well as their use in subsequent applications. In this article, a fast destriping approach for M³ is proposed using the Hodrick-Prescott decomposition embedded in the low-rank framework (LRHP) to overcome this limitation. The integration of a statistical filter and variational model tackles the problem stemming from a lack of the correct residual information when certain pixels are corrupted in every band, thereby restoring severely degraded hyperspectral images (HSIs). Simulated and real experiments conducted on typical regions on the Moon with various levels of corruption demonstrate that the proposed LRHP rapidly achieves favorable performance against state-of-the-art approaches. Also, expanding tests on interference imaging spectrometer (IIM) data of Chang'E-1 and commonly used terrestrial remote sensing images show that LRHP has good generalization capability. Moreover, the integrated band depth (IBD) maps further verify the necessity of destriping and the high spectral fidelity of LRHP that benefits further applications.