Accuracy Analysis of Satellite Image Classification Techniques

Name: Accuracy Analysis of Satellite Image Classification Techniques
Brand: LAP Lambert Academic Publishing
SKU: 9783330013827
Price: 45.6 EUR
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Land Cover Changes using Combined LANDSAT and ENVISAT Images

Автор: Nagarajan Sureshkumar, Manoharan Arun

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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Recent monsoon failures and reduced rain falls urge the environmental and ecology researchers to con...

Информация за книгата

Автор

Nagarajan Sureshkumar, Manoharan Arun

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

112

EAN

9783330013827

ISBN

3330013826

Enbook ID

15664895

Издател

LAP Lambert Academic Publishing

Теглоt

183

Размери

150 x 220 x 7

Пълно описание

Recent monsoon failures and reduced rain falls urge the environmental and ecology researchers to concentrate on the land cover changes. Significant and efficient way to monitor the land cover changes is satellite image classification. Classification of land cover changes of the study area are identified as used land, unused land, forest and vegetation. Using different kinds of remote sensing data like LANDSAT and ENVISAT, is an important research area for improving the classification performance. This work describes the combination of remotely sensed data, LANDSAT and ENVISAT images, to improve the classification accuracy. Classification algorithms KNN (K-Nearest Neighborhood) and SVM (Support Vector Machine) are tested for the accuracy and KNN in Embedding Space (KNNES) and SVM in Embedding Space (SVMES) are proposed and tested for the improved accuracy. Accuracy is quantified by reporting standard errors i.e., producer accuracy, user accuracy, omission error and commission error.

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Accuracy Analysis of Satellite Image Classification Techniques

Land Cover Changes using Combined LANDSAT and ENVISAT Images

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Пълно описание

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