Linear Mixture Model Applied to the Land-Cover Classification in an Alluvial Plain Using Landsat TM Data

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Land-cover Sub-pixel Classification Using Linear Mixture Model on Landsat Etm + Data in Egypt

One of the most important problems facing land cover mapping effort in Egypt is intensive and mixed landcover areas, which represent the majority of agricultural productive areas. This study was carried out to evaluate the possibility of using Linear Mixture Model as a sub pixel classification technique to extract fraction images from Landsat Enhanced Thematic Mapper data, which may help in fut...

متن کامل

Optimal Bayesian Classifier for Land Cover Classification Using Landsat TM Data

An optimal Bayesian classifier using mixture distribution class models with joint learning of loss and prior probability functions is proposed for automatic land cover classification. The probability distribution for each land cover class is more realistically modeled as a population of Gaussian mixture densities. A novel two-stage learning algorithm is proposed to learn the Gaussian mixture mo...

متن کامل

An Automated Artificial Neural Network System for Land Use/Land Cover Classification from Landsat TM Imagery

This paper focuses on an automated ANN classification system consisting of two modules: an unsupervised Kohonen’s Self-Organizing Mapping (SOM) neural network module, and a supervised Multilayer Perceptron (MLP) neural network module using the Backpropagation (BP) training algorithm. Two training algorithms were provided for the SOM network module: the standard SOM, and a refined SOM learning a...

متن کامل

Land Cover Classification Using Landsat TM Imagery in the Tropical Highlands: The Influence of Anisotropic Reflectance

Despite the tremendous attention given to conservation projects in the Neotropics, few published studies have documented remote sensing studies in tropical highland areas. Even fewer publications have addressed the use of topographic normalization methods in these regions. This article discusses the influence of anisotropic reflectance patterns on land cover classification for two study areas c...

متن کامل

Linear Spectral Mixture Analysis of Tm Data for Land-use and Land-cover Classification in Rondônia, Brazilian Amazon

The mixed pixels in remotely sensed data are one of the main error sources resulting in poor classification accuracy using traditional classification methods. In order to improve classification accuracy, linear spectral mixture analysis (LSMA) has been used to handle the mixed pixel problems. This paper aims to achieve an appropriate processing routine of LSMA through the comparison of classifi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Environmental Informatics

سال: 2006

ISSN: 1726-2135,1684-8799

DOI: 10.3808/jei.200600071