Three-dimensional landscape modeling for remote sensing

Lihong Su; Yuxia Huang; Xiaowen Li

doi:10.1117/12.441611

25 September 2001 Three-dimensional landscape modeling for remote sensing

Lihong Su, Yuxia Huang, Xiaowen Li

Author Affiliations +

Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441611
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Scene model is one of key components of remote sensing physical models. We introduce a computer scene model (CSM). And the CSM includes the parameterization of 3D landscape scene of a remote sensing pixel, data structure of the scene, methods and procedures for rendering the scene. In the CSM, generation of 3D architecturally realistic scene of a remote sensing pixel is based on vegetation measurement and statistics. Structure and biophysical parameters of plant firstly are measured by hand and by digital photogrammetry on field. Then, the original data are normalized to obtain the feature parameter set of plant, which is used to rebuild single plant in computer. Position of these plants in a pixel falls four interspersing patterns; random, regular, cluster, and transition. The CSM employs two methods to make 3D graphics of a remote sensing pixel. The first rendering approach is based on the L system, which is applicable to plant with small number of big leaf, such as corn. The second one depends on statistics, which is applicable to plant with big number of small leaf, such as tree and grass. The 3D remote sensing pixel scene is used not only to show 3D pictures, but also to compute distribution function of energy by reflected or emitted by the remote sensing pixel. CMS records all polygons, which make up of the 3D scene, in a text file on an array of polygon to provide the scene for next computations.

Citation Download Citation

Lihong Su, Yuxia Huang, and Xiaowen Li "Three-dimensional landscape modeling for remote sensing", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441611

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