Paper
17 August 1998 Modeling illumination effects to retrieve true reflectance in rugged terrain
Guangjian Yan, Jun Guo, Jindi Wang, Xiaowen Li, Chongguang Zhu
Author Affiliations +
Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317802
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
Topographic effects are the main obstacles to further analysis of satellite spectral data in mountainous area, especially to quantitative remote sensing. To obtain the true reflectance ofthe land surface, we must remove the topographic effects first. A physical model for rugged terrain is developed in this paper. Both atmospheric and topographic effects are considered in the model. 3 illumination sources are expressed analytically which include: 1) direct solar irradiance; 2) diffuse sky irradiance; 3) reflected irradiance from the adjacent terrain. Based on a quick searching algorithm for local horizon. the most complex part in the model—the reflected radiation can be calculated throughout the whole image in an economic computation time. In stead of using the field measured data or standard atmospheric condition obtained from the commercial software, we invert the atmospheric parameters from the image itself based on stochastic programming theory, a priori knowledge is used in the inversion process. To test the model, a Landsat TM-scene is matched to a digital elevation model(DEM) which has a resolution of Im for elevation. The true reflectance map is obtained from the model. It is found that most ofthe topographic effects are removed in the map.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangjian Yan, Jun Guo, Jindi Wang, Xiaowen Li, and Chongguang Zhu "Modeling illumination effects to retrieve true reflectance in rugged terrain", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317802
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reflectivity

Atmospheric modeling

Sensors

Atmospheric optics

Data modeling

Earth observing sensors

Satellites

Back to Top