QGIS Python Plugins Repository
Quick STEP
Accuracy assessment of object-based image classification - GEOBIA
Quick STEP plugin for QGIS implements STEP, a novel object-based similarity matrix, for assessing both geometric and thematic accuracies of remote-sensing image classification. In contrast to the traditional error matrix, STEP uses samples of classified and reference objects rather than counts of pixels. Moreover, STEP provides four (4) similarity metrics for characterization of classified objects compared with reference objects: (i) shape similarity (S); (ii) theme similarity (T); (iii) edge similarity (E); and (iv) position similarity (P). For more information see: Lizarazo, I. (2014). Accuracy assessment of object-based image classification: another STEP. International Journal of Remote Sensing, 35(16), 6135-6156.
If you feel like Quick STEP plugin for QGIS has made a contribution to your research, please consider citing it using: Ramirez, S., & Lizarazo, I.(2016). Quick STEP: Accuracy assessment similarity matrix for GEOBIA. QGIS plugin version 0.1.
An example dataset for this plugin is located here: https://goo.gl/Gso2B3
- Author
- Salomón Ramírez, Ivan Lizarazo
- Maintainer
- salomoneinstein
- Tags
- accuracy assessment , theme similarity , similarity matrix , geobia , position similarity , edge similarity
- Plugin home page
- https://github.com/salomoneinstein/QuickSTEP
- Tracker
- Browse and report bugs
- Code repository
- https://github.com/salomoneinstein/QuickSTEP.git
- Latest stable version
- 0.1
- Plugin ID
-
1019
| Version | Experimental | Min QGIS version | Max QGIS version | Downloads | Uploaded by | Date |
|---|---|---|---|---|---|---|
| 0.1 | no | 2.0.0 | 2.99.0 | 4593 | salomoneinstein | 2016-05-30T03:55:58.246899+00:00 |
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