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interimage:attributes_description [2010/06/23 17:57]
rsilva
interimage:attributes_description [2012/07/17 20:47] (current)
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** - Returns the real area of the given polygon. 
-  * **bBoxArea** - Returns the bounding box area of the given polygon, in number of pixels+  * **bBoxArea** - Returns the real bounding box area of the given polygon. 
-  * **perimeter** - Returns the perimeter of the polygon, considering the amount of pixels in its border.+  * **perimeter** - Returns the real perimeter of the given polygon.
   * **fractalDimension** - Returns the fractal dimension of a given polygon, which is calculated by the following equation:   * **fractalDimension** - Returns the fractal dimension of a given polygon, which is calculated by the following equation:
 {{ :​interimage:​fractal.png }}  ​ {{ :​interimage:​fractal.png }}  ​
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  {{ :​interimage:​shapeindex.png }}  {{ :​interimage:​shapeindex.png }}
 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 ​for the given image band/​channel.+  * **Amplitude** - represents the difference between the maximum and minimum pixel values of an object ​for the given image layer **L**.
  
-  * **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/​channel.   * **SumPixelsValues** - Represents the sum of all element values inside an area for one given image band/​channel.
  
-a  ​* **Variance** - Like the standard deviation, the variance also represents the numerical data dispersion degree surrounding the mean but in the original data value scale. It is defined by:+  ​* **Variance** - Like the standard deviation, the variance also represents the numerical data dispersion degree surrounding the mean but in the original data value scale. It is defined by:
 {{ interimage:​att_variance.gif }} {{ interimage:​att_variance.gif }}
  

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