Atmospheric correction and de-noising of CRISM data

We are developing a new method to enhance the quality of the reflectance signals acquired by Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) to help scientists identify and map minerals on Mars. Our focus covers not only denoising, but also improving atmospheric compensation and calibration.

Currently, we have developed a new method that simultaneously performs atmospheric correction and de-noising using an unmixing technique. Our new method removes most of the consistent residual of the atmospheric correction and the spurious noise that mask surface spectral signatures. The efforts of spectral ratioing would be unnecessary anymore in most cases. The new method also supports images acquired at high IR detector temperature and revives many highly noise corrupted images. Detail of our latest method and analyses is found here in our preprint.

Related publications

A new atmospheric correction and de-noising method for CRISM data

Y. Itoh and M. Parente
Icarus, vol. 354, Jan. 2021.
doi:10.1016/j.icarus.2020.114024 [Preprint PDF] [Accepted Manuscript PDF]

A new simultaneous atmospheric correction and de-noising of CRISM data

Y. Itoh and M. Parente
50th Lunar and Planetary Science Conference (LPSC), The Woodlands, TX, Mar. 2019, Abstract no. 2025.[PDF]

A new scene dependent atmospheric transmission for enhancement of CRISM volcano scan correction

Y. Itoh and M. Parente
49th Lunar and Planetary Science Conference (LPSC), The Woodlands, TX, Mar. 2018, Abstract no. 2337.[PDF]

Sparse unmixing with adaptive background

Yuki Itoh and Mario Parente
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fortworth, TX, July 2017 (invited).

Image-derived atmospheric transmission for enhancement of CRISM volcano scan correction

Yuki Itoh and Mario Parente
48th Lunar and Planetary Science Conference (LPSC), The Woodlands, TX, Mar. 2017, Abstract no. 2939.[PDF]