NDLI: Estimation of adjacency effect in the remotely sensed Hyperspectral data over rugged scenes

Content Provider	IEEE Xplore Digital Library
Author	Cheng Jiang Huijie Zhao Guorui Jia
Copyright Year	2012
Description	Author affiliation: Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, 100191, China (Cheng Jiang; Huijie Zhao; Guorui Jia)
Abstract	Adjacency Effect heavily affects the remotely sensed Hyperspectral data by adding surface surrounding scattering signals at sensor. Estimation of adjacency effect remains difficult because of the complex phenomena induced by rugged terrain. Indeed, existing method is not valid for a rough, heterogeneous surface like rugged terrain. In this paper we describe a method to estimate the adjacency effect in Hyperspectral data of rugged terrain. We compute the scattering and reflecting of light from adjacent surfaces into the field-of-view (FOV) based on the theory of radiation transfer. Our computation takes molecular/aerosol scattering phase functions and topographic features into account. We also discuss the dependence of the adjacency effect on the aerosol optical thickness and the relief of terrain.
Starting Page	195
Ending Page	199
File Size	811379
Page Count	5
File Format	PDF
ISBN	9781457717765
e-ISBN	9781457717758
DOI	10.1109/IST.2012.6295550
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-16
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical reflection Optical sensors Optical scattering Atmospheric modeling Aerosols Reflectivity Radiative Transfer Hyperspectral Data Rugged Scenes Adjacency effect
Content Type	Text
Resource Type	Article

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