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In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
Digital image processing has the ability to detect geological linear features on the image by using some algorithms. The most common algorithm which is used for this purpose is edge filtering. Gradien...
Principal Component Analysis (PCA) is often utilised in point cloud processing as provides an efficient method to approximate local point properties through the examination of the local neighbourhood...
In this paper, the Tasseled Cap Transformation (TCT) was applied to QuickBird multispectral images for extracting archaeological features linked to ancient human transformations of the landscape. The ...
India accounts for the world’s greatest concentration of coal fires which cause several devastating environmental effects. Only Jharia Coal Field (JCF) in Jharkhand (India) contains nearly half of su...
This paper reports a practical application of digitally enhanced Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data coupled with principal component analysis (PCA) and spectr...
The paper considers the problem of object segmentation and shape recognition in discrete noisy data. Two different algorithms combine region growing techniques with principal component analysis. The...
Recently, Polarimetric SAR (PolSAR) techniques have been much studied as hot research topics in the area of SAR. The objective of this paper is to assess the Principal component analysis (PCA) techn...
Change detection analyze means that according to observations made in different times, the process of defining the change detection occurring in nature or in the state of any objects or the ability of...

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