Restoration of Simulated EnMAP Data through Sparse Spectral Unmixing

Remote Sensing

Daniele Cerra¹  Jakub Bieniarz²  Rupert Müller²  Tobias Storch²  Peter Reinartz²  Saskia Foerster²  Véronique Carrere²  Michael Rast²  Karl Staenz² 

[1] German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), 82234 Wessling, Germany;

关键词: EnMAP;    denoising;    spectral unmixing;    sparse reconstruction;    inpainting;    dead pixels;   

DOI  :  10.3390/rs71013190

来源: mdpi

【 摘 要 】

This paper proposes the use of spectral unmixing and sparse reconstruction methods to restore a simulated dataset for the Environmental Mapping and Analysis Program (EnMAP), the forthcoming German spaceborne hyperspectral mission. The described method independently decomposes each image element into a set of representative spectra, which come directly from the image and have previously undergone a low-pass filtering in noisy bands. The residual vector from the unmixing process is considered as mostly composed of noise and ignored in the reconstruction process. The first assessment of the results is encouraging, as the original bands taken into account are reconstructed with a high signal-to-noise ratio and low overall distortions. Furthermore, the same method could be applied for the inpainting of dead pixels, which could affect EnMAP data, especially at the end of the satellite’s life cycle.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.