Land Use/cover Classification with Classification and Regression Tree Applied to MODIS Imagery

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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 classification with Support Vector Machine applied to MODIS imagery

The reported study is the first part of an on-going work which objective is to produce a land cover classification of continental Portugal from multi-spectral and multi-temporal MODIS satellite images acquired at a 500 m nominal resolution. Our goal is to achieve an automatic pixel level classification using a Support Vector Machine (SVM) learning approach. More precisely, we use the time evolu...

متن کامل

Classification and Regression Tree Methods

A classification or regression tree is a prediction model that can be represented as a decision tree. This article discusses the C4.5, CART, CRUISE, GUIDE, and QUEST methods in terms of their algorithms, features, properties, and performance.

متن کامل

Classification and Regression Tree Construction

Decision trees, either classification or regression trees, are especially attractive type of models for three main reasons. First, they have an intuitive representation, the resulting model is easy to understand and assimilate by humans [BFOS84]. Second, the decision trees are nonparametric models, no intervention being required from the user, and thus they are very suited for exploratory knowl...

متن کامل

Land Cover Classification Using IRS-1D Data and a Decision Tree Classifier

Land cover is one of basic data layers in geographic information system for physical planning and environmentalmonitoring. Digital image classification is generally performed to produce land cover maps from remote sensing data,particularly for large areas. In the present study the multispectral image from IRS LISS-III image along with ancillary datasuch as vegetation indices, principal componen...

متن کامل

Classification and Regression Tree Method for Forecasting

Sentiment classification is a special task of text classification whose objective is to classify a text according to the sentimental polarities of opinions it contains e.g., favorable or unfavorable, positive or negative. This is especially a problem for the tweets sentiment analysis. Since the topics in Twitter are very diverse, it is impossible to train a universal classifier for all topics. ...

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 Applied Sciences

سال: 2013

ISSN: 1812-5654

DOI: 10.3923/jas.2013.3770.3773