Discovering similarities in Landsat satellite images using the K-means method

Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images

The cognition of cropping pattern is important for planning and resource management .Remote sensing as a science and technology of spatial information and geographic information system due to having the analytical facilities can play a key role in determining the distribution of crops and their lands under cultivation. In this research, in order to identify and separate the lands under cultivat...

Detection of land use and vegetation changes in Poldokhtar Using Landsat Satellite Images

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Segmentation of Photospheric Solar Images by Using c-Means,k-Means, and FCM Algorithms

Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah)

Water is one of most important human needs for life. According to importance of subject, discussion of management and utilization of water resources has become one of the most important global issues. Remote sensing data are often used in water body extraction studies and type of remote sensing data used plays an important role in water body extraction. In this study, ability of Landsat satelli...

Discovering images : features, similarities and subspaces

This thesis investigates three of the core components of content-based image retrieval: visual features, similarity functions and indexing methods. In the content-based paradigm images are searched in a purely visual domain, where they are represented by high-dimensional features. Exhaustively searching this feature space can take a prohibitively long time. I argue that by the use of judicious ...