Outlier
GTB.Outlier History
Hide minor edits - Show changes to markup
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter "Preprocessing" [[http://dx.doi.org/10.1016/S0166-2481(08)00004-4 ]]
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter "Preprocessing" http://dx.doi.org/10.1016/S0166-2481(08)00004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter "Preprocessing" [http://dx.doi.org/10.1016/S0166-2481(08)00004-4 ]
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter "Preprocessing" [[http://dx.doi.org/10.1016/S0166-2481(08)00004-4 ]]
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter "Preprocessing" http://dx.doi.org/10.1016/S0166-2481(08)00004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter "Preprocessing" [http://dx.doi.org/10.1016/S0166-2481(08)00004-4 ]
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-2481(08)00004-4 | Preprocessing
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter "Preprocessing" http://dx.doi.org/10.1016/S0166-2481(08)00004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter Preprocessing
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-2481(08)00004-4 | Preprocessing
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-248100004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter Preprocessing
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-2481(08)00004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-248100004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter [http://dx.doi.org/10.1016/S0166-2481(08)00004-4]
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-2481(08)00004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-248100004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter [http://dx.doi.org/10.1016/S0166-2481(08)00004-4]
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-2481(08)00004-4
Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-248100004-4
Detection of Single Pixel Outliers in DEMs using a static or a dynamic thresholding method. Fills the outliers with mowing window data from the surrounding or writes a NODATA value (-4444). Reference: http://dx.doi.org/10.1016/S0166-2481(08)00004-4 in Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp.
Detection of Single Pixel Outliers in DEMs using a static or a dynamic thresholding method. Fills the outliers with mowing window data from the surrounding or writes a NODATA value (-4444). Reference: Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp. in chapter http://dx.doi.org/10.1016/S0166-2481(08)00004-4
Detection of Single Pixel Outliers in DEMs using a static or a dynamic thresholding method. Fills the outliers with mowing window data from the surrounding or writes a NODATA value (-4444).
Detection of Single Pixel Outliers in DEMs using a static or a dynamic thresholding method. Fills the outliers with mowing window data from the surrounding or writes a NODATA value (-4444). Reference: http://dx.doi.org/10.1016/S0166-2481(08)00004-4 in Hengl, T., Reuter, H.I. (eds) 2008. Geomorphometry: Concepts, Software, Applications. Developments in Soil Science, vol. 33, Elsevier, 772 pp.
Static Threshold:
- The Standard Deviation Threshold is set to a value and is constant over the whole dataset.
- Static Threshold: The Standard Deviation Threshold is set to a value and is constant over the whole dataset.
Case Dynamic Thresholding: In smooth DEMs a value of 2, in rougher/noiser DEMs higher values are needed. Case Static Thresholding: Specify the Standard Deviation Value which is supposed to be an outlier (e.g. 20 or 40)
Extent Search Window: The window for the Standard Deviation Generation. Large window Sizes increase computation times.
- Case Dynamic Thresholding: In smooth DEMs a value of 2, in rougher/noiser DEMs higher values are needed.
- Case Static Thresholding: Specify the Standard Deviation Value which is supposed to be an outlier (e.g. 20 or 40)
Extent Search Window:
- The window for the Standard Deviation Generation. Large window Sizes increase computation times.
Instead of filling the dataset by a moving window approach a nodata value (-4444) is written to the output grid.
- Instead of filling the dataset by a moving window approach a nodata value (-4444) is written to the output grid.
Static Threshold: The Standard Deviation Threshold is set to a value and is constant over the whole dataset. Dynamic Threshold: The Standard Deviation Threshold is calculated based on the Standard Deviation in the Window times the Value given in Standard Deviation for Outlier Values.
Static Threshold:
- The Standard Deviation Threshold is set to a value and is constant over the whole dataset.
- Dynamic Threshold: The Standard Deviation Threshold is calculated based on the Standard Deviation in the Window times the Value given in Standard Deviation for Outlier Values.
Type of Threshold Static Threshold: The Standard Deviation Threshold is set to a value and is constant over the whole dataset. Dynamic Threshold: The Standard Deviation Threshold is calculated based on the Standard Deviation in the Window times the Value given in Standard Deviation for Outlier Values.
Standard Deviation for Detection.
Type of Threshold: Static Threshold: The Standard Deviation Threshold is set to a value and is constant over the whole dataset. Dynamic Threshold: The Standard Deviation Threshold is calculated based on the Standard Deviation in the Window times the Value given in Standard Deviation for Outlier Values.
Standard Deviation for Detection:
Extent Search Window - The window for the Standard Deviation Generation. Large window Sizes increase computation times. Outlier Value
Extent Search Window: The window for the Standard Deviation Generation. Large window Sizes increase computation times. Outlier Value:
Detection of Single Pixel Outliers in DEMs using a static or a dynamic thresholding method. Fills the outliers with mowing window data from the surrounding or writes a NODATA value (-4444).
DEM (Raster Dataset) - a grid representing a continuous surface
Type of Threshold Static Threshold: The Standard Deviation Threshold is set to a value and is constant over the whole dataset. Dynamic Threshold: The Standard Deviation Threshold is calculated based on the Standard Deviation in the Window times the Value given in Standard Deviation for Outlier Values.
Standard Deviation for Detection. Case Dynamic Thresholding: In smooth DEMs a value of 2, in rougher/noiser DEMs higher values are needed. Case Static Thresholding: Specify the Standard Deviation Value which is supposed to be an outlier (e.g. 20 or 40) Extent Search Window - The window for the Standard Deviation Generation. Large window Sizes increase computation times. Outlier Value Instead of filling the dataset by a moving window approach a nodata value (-4444) is written to the output grid.
Output DEM (Raster Dataset) - a grid representing a continuous surface
http://www.ai-relief.org//functions/dataprep/outlier/command.jpg
http://www.ai-relief.org//functions/dataprep/outlier/command.jpg
outlier/elev.jpg
http://www.ai-relief.org//functions/dataprep/outlier/elev.jpg
outlier/command.jpg
http://www.ai-relief.org//functions/dataprep/outlier/command.jpg
outlier/d2.jpg
http://www.ai-relief.org//functions/dataprep/outlier/d2.jpg
outlier/d2o.jpg
http://www.ai-relief.org//functions/dataprep/outlier/d2o.jpg
outlier/s5.jpg
http://www.ai-relief.org//functions/dataprep/outlier/s5.jpg
outlier/s5o.jpg
http://www.ai-relief.org//functions/dataprep/outlier/s5o.jpg
(:div input:) INPUT
Input Data - Elevation outlier/elev.jpg
(:divend:)
(:div commandwindow:) COMMAND
Command Call outlier/command.jpg (:divend:)
(:div results:) RESULTS
Dynamic 2 SD outliers with average replacement outlier/d2.jpg
Dynamic 2 SD outliers with extra ERROR value written outlier/d2o.jpg
Static threshold of 5m with average replacement outlier/s5.jpg
Static threshold of 5m with extra ERROR value written outlier/s5o.jpg
(:divend:)