Nonlinear Mixing Model of Mixed Pixels in Remote Sensing Satellite Images Taking Into Account Landscape

Kohei Arai

doi:10.14569/ijacsa.2013.040115

Abstract

Nonlinear mixing model of mixed pixels in remote sensing satellite images taking into account landscape is proposed. Most of linear mixing models of mixed pixels do not work so well because the mixed pixels consist of several ground cover targets in a nonlinear basis essentially. In particular mixing model should be nonlinear because reflected photons from a ground cover target are scattered with atmospheric continuants and then reflected by the other or same ground cover targets. Therefore, mixing model has to be nonlinear. Monte Carlo Ray Tracing based nonlinear mixing model is proposed and simulated. Simulation results show a validity of the proposed nonlinear mixed pixel model.

Highlights

Most of linear mixing models of mixed pixels do not work so well because the mixed pixels consist of several ground cover targets in a nonlinear basis essentially
The pixels in earth observed images which are acquired with Visible to Near Infrared: VNIR sensors onboard remote sensing satellites are, essentially mixed pixels which consists of several ground cover materials [1]
Landscape based nonlinear mixing model of the mixed pixels of remote sensing satellite images which takes into account scattering due to the atmospheric molecules and aerosol particles in the atmosphere is proposed

Summary

INTRODUCTION

Most of linear mixing models of mixed pixels do not work so well because the mixed pixels consist of several ground cover targets in a nonlinear basis essentially. The pixels in earth observed images which are acquired with Visible to Near Infrared: VNIR sensors onboard remote sensing satellites are, essentially mixed pixels (mixels) which consists of several ground cover materials [1]. Due to the influences from multiple reflections between the atmosphere and ground, multiple scattering in the atmosphere on the observed radiance from the ground surface, pixel mixture model is essentially non-linear rather than linear. These influence is interpreted as adjacency effect [6].[7]. Landscape based nonlinear mixing model of the mixed pixels of remote sensing satellite images which takes into account scattering due to the atmospheric molecules and aerosol particles in the atmosphere is proposed. PROPOSED NONLINEAR MIXING MODEL OF MIXED PIXELS IN REMOTE SENSING SATELLITE IMAGES

Monte Carlo Ray Tracing Simulation Model

Ground Surface Model

Simulation Study with a Variety of Parameters

Experiemntal Study

CONCLUSION