Rough Sets for Satellite Image Classification

Name: Rough Sets for Satellite Image Classification
Brand: LAP Lambert Academic Publishing
SKU: 9783330032828
Price: 16769 HUF
Availability: InStock

Landuse/Landcover Analysis of Alwar (Rajasthan)

Szerző: Sonika Jindal

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

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

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Szerző

Sonika Jindal

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2017

oldal

108

EAN

9783330032828

Enbook ID

15869981

Kiadó

LAP Lambert Academic Publishing

Súly

179

Méretek

150 x 220 x 6

Teljes leírás

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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Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták