Mr. Cheng Fan Profile

Cheng Fan

at Aerospace Information Research Institute CAS

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 24 November 2021 Paper

Hyperspectral surface reflectance reconstruction based on non-negative matrix factorization and multispectral results

Weizhen Hou, Zhengqiang Li, Xiaogang Dong, Zhiyuan Zhou, Bangyu Ge, Yang Zheng, Qian Yao, Cheng Fan, Zheng Shi

Proceedings Volume 12064, 120640E (2021) https://doi.org/10.1117/12.2606327

KEYWORDS: Reflectivity, Principal component analysis, MODIS, Short wave infrared radiation, Satellites, Remote sensing, Mid-IR, MATLAB

Read Abstract +

Different from the principal component analysis (PCA), non-negative matrix factorization (NMF) can provide more direct interpretation owning to the non-subtractive combinations of non-negative basis vectors, and many practical problems also require non-negative basis vectors rather than the orthogonal vectors with alternating positive and negative. In this study, we develop a hyperspectral surface reflectance reconstruction method based on NMF and multispectral results in several wavelength bands. In order to test our spectral reconstruction method, the spectral datasets of typical surface types are extracted from the spectral library of John Hopkins University (JHU), which include the soil, vegetation, manmade materials, sedimentary fine and coarse rock. The prior surface reflectance or emissivity results are selected from only four wavelength bands (2.13, 3.75, 3.96, 4.05 μm) from shortwave infrared to Mid-infrared, which can be easily obtained from the surface product of Moderate-resolution Imaging Spectroradiometer (MODIS). Based on the JHU spectral dataset and NMF, the hyperspectral surface reflectance in the spectral range of 2-5μm with the step of 25 nm can be reconstructed consistently. In addition, the hyperspectral reconstruction effects by NMF are quantitatively investigated, in which the root mean square error and the mean absolute error is about 0.016 and 0.01, respectively.

Proceedings Article | 5 November 2020 Paper

Sensitivity study of synthetic polarization measurements in UV wavelength bands

Xiaolong Hao, Weizhen Hou, Zheng Shi, Cheng Fan

Proceedings Volume 11566, 115660F (2020) https://doi.org/10.1117/12.2579307

Read Abstract +

For the satellite remote sensing of aerosols in Ultraviolet (UV) wavelength bands, the atmospheric widow in UVA spectral bands from 315nm to 400nm are usually used. To derive the aerosols and surface reflectance from satellite UV measurements, a suitable radiative transfer model is indispensable for designed retrieval algorithms. In this study, we focus on the sensitivity study of polarization measurements in the UV wavelength bands, and Unified Linearized Vector Radiative Transfer Model (UNL-VRTM) is used as the forward model for the simulation of the synthetic data. The hyperspectral surface reflectance of green vegetation and man-made materialsin UV have been extracted from the spectral library of John Hopkins University (JHU), and the polarized surface reflectance is also integrated in forward simulations. Both the fine-mode and coarse mode dominated aerosols are selected to investigate the influence on the measurements at the top of the atmosphere (TOA). For the separate contributions of Rayleigh scattering, aerosols scattering/absorption and surface-atmosphere coupled results, different input options are set in the UNL-VRTM. With the combination of gas absorption in forward simulation, the Rayleigh contribution, atmospheric path radiance and coupled contribution with surface are obtained, and the corresponding sensitivities are investigated and discussed. The results in this study can provide important support for the design of retrieval algorithms in UV.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years