Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation

Abstract

 Comparative study on linear and nonlinear mixed pixel models of which pixels in remote sensing satellite images is composed with plural ground cover materials mixed together, is conducted for remote sensing satellite image analysis. The mixed pixel models are based on Cierniewski of ground surface reflectance model. The comparative study is conducted by using of Monte Carlo Ray Tracing: MCRT simulations. Through simulation study, the difference between linear and nonlinear mixed pixel models is clarified. Also it is found that the simulation model is validated.

Authors and Affiliations

Kohei Arai

Keywords

Related Articles

 Leaf Image Segmentation Based On the Combination of Wavelet Transform and K Means Clustering

 This paper focuses on Discrete Wavelet Transform (DWT) associated with the K means clustering for efficient plant leaf image segmentation. Segmentation is a basic pre-processing task in many image processing applic...

 Compressed Sensing Based Encryption Approach for Tax Forms Data

 In this work we investigate the possibility to use the measurement matrices from compressed sensing as secret key to encrypt / decrypt signals. Practical results and a comparison between BP (basis pursuit) and OMP...

Intelligent Agent based Flight Search and Booking System

The world globalization is widely used, and there are several definitions that may fit this one word. However the reality remains that globalization has impacted and is impacting each individual on this planet. It is def...

Weapon Target Assignment with Combinatorial Optimization Techniques

Weapon Target Assignment (WTA) is the assignment of friendly weapons to the hostile targets in order to protect friendly assets or destroy the hostile targets and considered as a NP-complete problem. Thus, it is very har...

 Dynamic Programming Method Applied in Vietnamese Word Segmentation Based on Mutual Information among Syllables

 Vietnamese word segmentation is an important step in Vietnamese natural language processing such as text categorization, text summary, and automated machine translation. The problem with Vietnamese word segmentatio...

Download PDF file
  • EP ID EP140996
  • DOI -
  • Views 107
  • Downloads 0

How To Cite

Kohei Arai (2013).  Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(4), 1-7. https://europub.co.uk/articles/-A-140996