# An landcover fuzzy logic classification by maximumlikelihood

Source: [An landcover fuzzy logic classification by maximumlikelihood](<https://www.sota2.com/research/paper/68fa61671e209131ce9f420b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T19:58:36.387Z

Authors: T.Sarath, G.Nagalakshmi

Published: 2014-07-17T17:10:06.000Z

## Abstract

In present days remote sensing is most used application in many sectors. This remote sensing uses different images like multispectral, hyper spectral or ultra spectral. The remote sensing image classification is one of the significant method to classify image. In this state we classify the maximum likelihood classification with fuzzy logic. In this we experimenting fuzzy logic like spatial, spectral texture methods in that different sub methods to be used for image classification.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1407.4739>)

[PDF](<https://arxiv.org/pdf/1407.4739.pdf>)