An landcover fuzzy logic classification by maximumlikelihood

07/17/2014
by   T. Sarath, et al.
0

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.

READ FULL TEXT
research
02/22/2010

Supervised Classification Performance of Multispectral Images

Nowadays government and private agencies use remote sensing imagery for ...
research
01/30/2014

Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method

Remote sensing image classification can be performed in many different w...
research
11/21/2022

Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models

Multi-spectral imagery is invaluable for remote sensing due to different...
research
01/31/2020

Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP

One problem found when working with satellite images is the radiometric ...
research
06/26/2023

Spectral Analysis of Marine Debris in Simulated and Observed Sentinel-2/MSI Images using Unsupervised Classification

Marine litter poses significant threats to marine and coastal environmen...
research
03/27/2018

Recent Developments from Attribute Profiles for Remote Sensing Image Classification

Morphological attribute profiles (APs) are among the most effective meth...
research
04/15/2021

Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data

The success of supervised classification of remotely sensed images acqui...

Please sign up or login with your details

Forgot password? Click here to reset