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Grey Level Co-occurrence Matrix (GLCM) analysis in ERDAS IMAGINE (Spatial Modeler)

Status: Delivered
by Technical Evangelist ‎10-10-2017 09:59 AM - edited ‎10-10-2017 10:01 AM

As an ERDAS IMAGINE user attempting to perform supervised classification I would like to be able to run GLCM filters (also sometimes known as Haralick Textures) in order to create additional layers of texture measures for my data.

 

 

ERDAS ER Mapper already implements over a dozen different GLCM filters:

 

https://hexagongeospatial.fluidtopics.net/reader/aBeAmMF1rSQjl~wOD6IDZA/wLx87ePDTy0AacBYuYhd4g

 

Seen as important inputs to supervised classification:

 

  • Angular Second Moment (ASM)
  • Contrast (CON)
  • Correlation (COR)
  • Entropy (ENT2)
  • Homogeneity (HOM)
  • Etc.
Status: Delivered

 

A "Compute GLCM Texture" operator is provided as part of Spatial Modeler 2020. This operator supports GPU acceleration.

Comments
by
on ‎10-10-2017 11:42 PM

Obviously also as operators in Spatial Modeler.

by Technical Evangelist
on ‎11-16-2017 08:44 AM
Status changed to: Candidate
by Technical Evangelist
on ‎08-06-2019 05:54 AM
Status changed to: Targeted for an upcoming release

 

Targeted for ERDAS IMAGINE 2020 in Q4 2019

 

by Technical Evangelist
on ‎10-21-2019 01:51 PM
Status changed to: Delivered

 

A "Compute GLCM Texture" operator is provided as part of Spatial Modeler 2020. This operator supports GPU acceleration.