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Reverse Squared Euclidean Distance (RSED) computes the 2D maximal height surface created by placing an inverted parabola over each non-zero pixel of the input image, where the pixel's value is the height of the parabola. Viewed as a binary image (zero/not-zero) this is equivalent to buffering each non-zero input pixel by the square root of its value, in pixels.
Usage
Returns
Image.rsedTransform(neighborhood,units)
Image
Argument
Type
Details
this:image
Image
The input image.
neighborhood
Integer, default: 256
Neighborhood size in pixels.
units
String, default: "pixels"
The units of the neighborhood, currently only 'pixels' are supported.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13 UTC."],[[["\u003cp\u003eRSED generates a height map by placing inverted parabolas over each non-zero pixel in an image, with parabola height corresponding to pixel value.\u003c/p\u003e\n"],["\u003cp\u003eThis transformation effectively buffers non-zero pixels by the square root of their value, creating a smoothed, expanded representation of the original image.\u003c/p\u003e\n"],["\u003cp\u003eIt's implemented through the \u003ccode\u003ersedTransform\u003c/code\u003e method with adjustable neighborhood size, impacting the extent of buffering.\u003c/p\u003e\n"]]],["Reverse Squared Euclidean Distance (RSED) creates a 2D surface by placing inverted parabolas over non-zero pixels in an image, with pixel values determining parabola heights. It's analogous to buffering each non-zero pixel by the square root of its value. The `Image.rsedTransform` function takes an input image and computes the RSED transform. The function requires `neighborhood` size in pixels (default 256) and supports `\"pixels\"` as `units`. It returns the transformed `Image`.\n"],null,["# ee.Image.rsedTransform\n\nReverse Squared Euclidean Distance (RSED) computes the 2D maximal height surface created by placing an inverted parabola over each non-zero pixel of the input image, where the pixel's value is the height of the parabola. Viewed as a binary image (zero/not-zero) this is equivalent to buffering each non-zero input pixel by the square root of its value, in pixels.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------------------------------|---------|\n| Image.rsedTransform`(`*neighborhood* `, `*units*`)` | Image |\n\n| Argument | Type | Details |\n|----------------|---------------------------|-----------------------------------------------------------------------|\n| this: `image` | Image | The input image. |\n| `neighborhood` | Integer, default: 256 | Neighborhood size in pixels. |\n| `units` | String, default: \"pixels\" | The units of the neighborhood, currently only 'pixels' are supported. |"]]
