interimage:attributes_description
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Ambos lados da revisão anteriorRevisão anteriorPróxima revisão | Revisão anterior | ||
interimage:attributes_description [2010/06/23 20:32] – hermann | interimage:attributes_description [2012/07/17 23:47] (atual) – rsilva | ||
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* **yGeoCenter** - y geo-coordinate of the object centroid. | * **yGeoCenter** - y geo-coordinate of the object centroid. | ||
* **membership** or **p** - confidence in the object with regard to its classification. | * **membership** or **p** - confidence in the object with regard to its classification. | ||
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===== Shape Attributes ===== | ===== Shape Attributes ===== | ||
- | * **area**: Returns the area of the given polygon, in number of pixels. | + | * **area** |
- | * **bBoxArea**: Returns the bounding box area of the given polygon, in number of pixels. | + | * **bBoxArea** |
- | * **perimeter**: Returns the perimeter of the polygon, considering the amount of pixels in its border. | + | * **perimeter** |
- | * **fractalDimension**: Returns the fractal dimension of a given polygon, which is calculated by the following equation: | + | * **fractalDimension** |
{{ : | {{ : | ||
Where P is the polygon perimeter and A is the area. | Where P is the polygon perimeter and A is the area. | ||
- | * **perimeterAreaRatio**: Calculates the ratio between the perimeter and the area of a polygon. | + | * **perimeterAreaRatio** |
- | * **compacity**: Returns the compacity of a given polygon, which is calculated by the following equation: | + | * **compacity** |
{{ : | {{ : | ||
Where P is the polygon perimeter and A is the area. | Where P is the polygon perimeter and A is the area. | ||
- | * **density**: The density of a polygon is calculated by the ratio between its area and its Radius (the maximum distance between the polygon centroid and all its vertices). | + | * **density** |
- | * **length**: The Length of a polygon is the height of its bounding box. | + | * **length** |
- | * **width**: The Width of a polygon is calculated by the width of its bounding box. | + | * **width** |
- | * **contiguity**: Contiguity index assesses the spatial connectedness of pixels within a polygon to provide an index of boundary configuration. | + | * **contiguity** |
- | * **gyrationRadius**: This attribute equals the mean distance between each pixel in the polygon and the polygon centroid. | + | * **gyrationRadius** |
- | * **angle**: The main angle of a polygon. It is obtained by calculating the best elliptic fit, and the angle of the biggest radius of the ellipse corresponds to the polygon angle. | + | * **angle** |
- | * **ellipticFit**: Finds the best ellipse which fits outside the polygon and returns the ratio between the polygon area and the ellipse area. | + | * **ellipticFit** |
- | * **squareness**: This attribute fits the minimum rectangle outside the polygon and calculates the ratio between the polygon area and the area of this rectangle. The t closest to 1 is this attribute, the most similar to a rectangle the polygon is. | + | * **squareness** |
- | * **circleness**: It is calculated by the following equation: | + | * **circleness** |
{{ : | {{ : | ||
Where A is the polygon area and R is the maximum distance between the polygon centroid and all its vertices. | Where A is the polygon area and R is the maximum distance between the polygon centroid and all its vertices. | ||
- | * **shapeIndex**: Returns the shape index of a given polygon, which is calculated by the following equation: | + | * **shapeIndex** |
{{ : | {{ : | ||
Where P is the polygon perimeter and A is the area. | Where P is the polygon perimeter and A is the area. | ||
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===== Spectral Statistical Attributes ===== | ===== Spectral Statistical Attributes ===== | ||
- | * **Amplitude** - represents the difference between the maximum and minimum pixel values of a region | + | * **Amplitude** - represents the difference between the maximum and minimum pixel values of an object |
- | * **Brightness** - | + | * **Brightness** - represents the brightness of an image object. |
* **Correlation** - Correlation is a similarity measure between two data sets under an absolute scale between [-1,1]. It is calculated as shown by the next formula: | * **Correlation** - Correlation is a similarity measure between two data sets under an absolute scale between [-1,1]. It is calculated as shown by the next formula: | ||
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- | * **Ratio** - | + | * **Ratio** - represents the amount that layer **L** contributes to the total brightness of an image object. |
* **StdDeviation** - The standard deviation represents the numerical data dispersion degree surrounding the mean. It is defined by: | * **StdDeviation** - The standard deviation represents the numerical data dispersion degree surrounding the mean. It is defined by: | ||
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* **SumPixelsValues** - Represents the sum of all element values inside an area for one given image band/ | * **SumPixelsValues** - Represents the sum of all element values inside an area for one given image band/ | ||
- | a | + | |
{{ interimage: | {{ interimage: | ||
interimage/attributes_description.1277325161.txt.gz · Última modificação: 2010/06/23 20:32 por hermann