How can remote sensing be used to detect lineaments?
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Remote sensing can be used to detect lineaments by utilizing various data sources and algorithms. One method involves processing multi-sensor data from radar and optical sensors using spatial and spectral filters before applying an algorithm to detect linear surface features . Another approach is to use a bottom-up Object-Based Image Analysis approach, which allows for the mapping of lineaments to a high level of detail by using different pixel resolutions . Additionally, remote sensing can be used to interpret structural geology and geomorphology of terrains, such as identifying tectonic tensile fracturing and uplift-related fracturing . Cooperatively using edge detection methods of gravity, magnetic, and remote sensing data can also help in recognizing lineaments and defining geologic boundaries . Overall, remote sensing provides a valuable tool for detecting lineaments and understanding the geological features and structures of an area.
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| Papers (5) | Insight |
|---|---|
| Remote sensing data can be used to extract boundaries and lineaments by applying edge detection techniques such as the Canny, Sobel, and Prewitt operators, as mentioned in the paper. | |
| Remote sensing can be used to interpret structural geology and geomorphology of terrains, including the detection of lineaments. | |
| Remote sensing can be used to detect lineaments by using multi-sourced datasets and a semi-automated bottom-up Object-Based Image Analysis approach. | |
| Remote sensing data from radar (DEM-5m, Sentinel-1 GRD) and optical sensors (Sentinel-2 MSI, ASTER) were processed using spatial and spectral filters to automatically extract lineaments. | |
| Remote sensing can be used to detect lineaments by analyzing satellite images to identify linear geomorphological features and infer geological boundaries and subsurface phenomena. |
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