Multispectral and Panchromatic used Enhancement Resolution and Study Effective Enhancement on Supervised and Unsupervised Classification Land – Cover

Salman, Salema S.; Abbas, W. A.

doi:10.1088/1742-6596/1003/1/012081

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…It is an algorithm used to clustering data of unities information into two or many clusters and employed in pattern recognition [25]. It is based on minimizing the objective functions difference in two sequences ( ) [26,27]:…”

Section: Fuzzy C-mean (Fcm) Clustering Algorithmmentioning

confidence: 99%

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Genetic Algorithm-Based Anisotropic Diffusion Filter and Clustering Algorithms for Thyroid Tumor Detection

Abbas

2020

eijs

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Medical imaging is a technique that has been used for diagnosis and treatment of a large number of diseases. Therefore it has become necessary to conduct a good image processing to extract the finest desired result and information. In this study, genetic algorithm (GA)-based clustering technique (K-means and Fuzzy C Means (FCM)) were used to segment thyroid Computed Tomography (CT) images to an extraction thyroid tumor. Traditional GA, K-means and FCM algorithms were applied separately on the original images and on the enhanced image with Anisotropic Diffusion Filter (ADF). The resulting cluster centers from K-means and FCM were used as the initial population in GA for the implementation of GAK-Mean and GAFCM. Jaccard index was used to study resemblance, dissimilarity, distance between two sets of images, and effect of ADF on enhancing the CT images. The results showed that ADF increases the segmentation accuracy, where the value of Jaccard index of similarity between the ground truth image and segmented image was increased for all segmentation algorithms, in particular for FCM and GAFCM where similarity percent was up to 88%.

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Section: Fuzzy C-mean (Fcm) Clustering Algorithmmentioning

confidence: 99%

“…) is the Euclidean distance between cluster center and each pixel, U ij is a membership of each pixel x i to cluster with center c j . The object function is optimized by a continual update of the (𝒖𝒊) and (c𝒋) until the difference between two iterations becomes less than the threshold ( ) [26,27].…”

Section: Fuzzy C-mean (Fcm) Clustering Algorithmmentioning

confidence: 99%

Genetic Algorithm-Based Anisotropic Diffusion Filter and Clustering Algorithms for Thyroid Tumor Detection

Abbas

2020

eijs

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Spatial - Temporal variability of Land Use Land Cover at Mount Merapi, Indonesia

Rajani

Varadarajan

2022

IJSRST

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One of the most active volcanoes in the island of Java is Merapi mount which was experienced the last major eruption peak on October 26th, 2010. This volcanic eruption was effusive eruption type where magmatic gas pressure in the crater was not too strong and magma eruption was just flown out past the slopes of the Merapi mount area. However, magmatic gas pressure and magma volume still result in deformation changes that have a direct impact on residential areas throughout the Merapi mount area. Residential areas were obtained through supervised classification process from Landsat 7 and 8-satellite imagery in the 2009, 2011 and 2019 acquisition year. The reason of observation year selection was based on pre and post eruption concept to get pattern of Merapi’s mountain body change through deformation analysis. The work focuses on spatial-temporal variability of land use land cover analysis at Mount Merapi pre and post 2010 eruption event considered here. The technique is based on NDVI (Normalized Difference Vegetation Index), Maximum Likelihood Classification (MLC) and False Colour Composite methodology. Based on change in number of pixels it was analysed. Actually, some portion of land was covered with clouds and its shadows. From the results it was observed that, water body, barren and built up features were miss classified. So finally False Colour Composite (FCC) images are used to identify the misclassified classes.

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Multispectral and Panchromatic used Enhancement Resolution and Study Effective Enhancement on Supervised and Unsupervised Classification Land – Cover

Cited by 2 publications

References 13 publications

Genetic Algorithm-Based Anisotropic Diffusion Filter and Clustering Algorithms for Thyroid Tumor Detection

Genetic Algorithm-Based Anisotropic Diffusion Filter and Clustering Algorithms for Thyroid Tumor Detection

Spatial - Temporal variability of Land Use Land Cover at Mount Merapi, Indonesia

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