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...
2 PhD positions (m/f/d) | Flora Incognita Max Planck Institute for Biogeochemistry https://www.mpg.de/15938714/2-phd-positions-flora-incognita Job Offer from October 26, 2020 The Max Planck Institute for Biogeochemistry (MPI-BGC) in Jena is dedicated to interdisciplinary basic research in the field of Earth System Sciences with a focus on climate and ecosystems. The internationally renowned institute, which currently employs around 230 people, will celebrate its 25th anniversary in 2022. Jena is known for its high-tech industry, internationally renowned research facilities and a modern university. But it also has a beautiful natural setting in the green Saale valley with steep limestone slopes. The city of Jena has an active student scene and a diverse cultural life. In our Flora Incognita group we are looking for 2 PhD positions (m/f/d) limited to 3 years. Background and position description: Citizen Science approaches combined with latest machine learning are cutting-edge research to...
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