Anomaly Detection of Outlier Features from Spatio-temporal Databases of Landsat-8 Sensor, using Cloud Computing Platform

There has recently been a surge in the number of research articles published in peer-reviewed journals about machine learning and specialized algorithms for feature identification, feature selection, and feature extraction studies. This article distinguishes proof-of-concept applications from domains such as

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Hierarchical Scale-space Representational Measure for Estimating Land Cover

Shape-filling curves such as planar lines and rectilinear segments are the Minimum Mapping Unit (MMU) for an object-oriented image analysis operation. When the scale is changed, the space-filling curves do not change the feature object representation, thus representing spatial and

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Classification of High-resolution Images with Local Binary Pattern and Convolutional Neural Network: An Advanced Study

It is very important to accurately classify high-resolution satellite images and to classify each section of the image separately. Complex patterns, on the other hand, are difficult to identify. To address this issue, the deep learning method is being used.

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