70 Million Years In 2 Minutes - The Himalayas Forming

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Filtering in Remote Sensing. Convolution. Edge enhancement. Low pass filter and High-pass filter

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Filtering in Remote Sensing. Convolution. Edge enhancement. Low pass filter and High-pass filter Spatial filtering is a technique used in remote sensing to enhance the spatial resolution of an image. This is typically done by using a mathematical algorithm to process the raw data collected by the remote sensing instrument, with the goal of reducing noise and improving the overall quality of the image. Spatial frequency in remote sensing refers to the density of spatial details or features in an image. It is a measure of how quickly the intensity or brightness of an image changes over a given distance. High spatial frequency indicates a high density of fine details or edges in an image, while low spatial frequency indicates a low density of fine details or edges. Spatial frequency is an important concept in remote sensing because it can affect the ability to detect and interpret features in an image. It can also be used to evaluate the quality and usefulness of an image for certain type...
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Spatial feature manipulation in remote sensing

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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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Edge detection or edge enhancement in remote sensing

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Edge detection is a common technique used in remote sensing to identify and extract the boundaries or edges of objects in an image. This can be useful for identifying changes in land cover, detecting features such as roads or buildings, and improving the overall interpretation and classification of an image. Edge detection algorithms typically use mathematical techniques to identify abrupt changes in pixel values within an image. These changes may indicate the presence of an edge or boundary between two distinct objects or areas. Edge detection is an important tool in remote sensing for a number of reasons. It can be used to identify objects or features in an image, such as roads, buildings, or vegetation. It can also be used to improve image classification by highlighting important features that may not be easily visible in the raw data. Additionally, edge detection can be used to improve image registration and mosaicking, by providing a common reference point for aligning multiple im...
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