Piqiang Fault
Satellite image of the Piqiang Fault, a northwest trending left-lateral strike-slip fault in the Taklamakan Desert south of the Tian Shan Mountains, China (40.3°N, 77.7°E). (credit: NASA Earth Observatory images)
Filtering in Remote Sensing. Convolution. Edge enhancement. Low pass filter and High-pass filter
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...
Comments
Post a Comment