Rough Sets for Satellite Image Classification

Name: Rough Sets for Satellite Image Classification
Brand: LAP Lambert Academic Publishing
SKU: 9783330032828
Price: 259.0 RON
Availability: InStock

Landuse/Landcover Analysis of Alwar (Rajasthan)

Autor: Sonika Jindal

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Editura: LAP Lambert Academic Publishing

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It has been observed that the ground truth data, forming a prime decision system, an essential ingre...

Informații despre carte

Autor

Sonika Jindal

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2017

Pagini

108

EAN

9783330032828

Enbook ID

15869981

Editura

LAP Lambert Academic Publishing

Greutate

179

Dimensiuni

150 x 220 x 6

Descriere completă

It has been observed that the ground truth data, forming a prime decision system, an essential ingredient for a supervised learning, may itself contain redundant / inconsistent / conflicting information. Moreover, there may be superfluous attributes that warrants a fast mechanism to identify & discard them and at the same time keep the information content compatible to the original data set. The Rough Set Theory has emerged as an effective measure to resolve imprecise knowledge, analysis of conflicts, evaluation of data dependencies and generating rules. Landuse/Landcover classification is specifically chosen for this study as it is well recognized important task in landscape ecology. The objective is how the decision system required for any supervised classification, is made consistent and free from superfluous attributes. Land cover classification of the LISS-III image pertaining to Alwar (India) area by the Rough Set, Maximum Likelihood Classifier and Minimum Distance Classifier is performed. The findings show that, in the era of internet GIS where time and accuracy is the prime requirement in classification of images, Rough set theory offers better and accurate results.

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Rough Sets for Satellite Image Classification

Landuse/Landcover Analysis of Alwar (Rajasthan)

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Descriere completă

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