Tourism is a global business that greatly impacts the economy of any country. Take your passion for travelling to the next level with our Tourism and Travel Management course and gain in-depth knowledge of this thriving industry.

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Tourism is a global business that greatly impacts the economy of any country. Take your passion for travelling to the next level with our Tourism and Travel Management course and gain in-depth knowledge of this thriving industry.
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Spatial feature manipulation in remote sensing refers to the process of altering or modifying the spatial characteristics of a particular feature in an image or data set. This can be done for a variety of reasons, such as to improve the accuracy or clarity of the image, to enhance the interpretability of the data, or to extract specific information from the image. One common method of spatial feature manipulation is resampling, which involves changing the resolution or spatial extent of an image. This can be done to match the resolution of other data sets, to reduce the size of the image for faster processing, or to increase the resolution for greater detail. Another technique is spatial filtering, which involves applying mathematical operations to the image data to remove noise or highlight specific features. This can be done using convolution filters, which apply a pre-defined mathematical function to the image data, or using image enhancement techniques, such as contrast stretching
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