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Quick STEP

Accuracy assessment of object-based image classification

About

QuickSTEP is a plugin for QGIS that 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.

Citation

If you feel like QuickSTEP has made a contribution to your research, please consider citing it using:
Ramirez, S., Lizarazo, I.(2016). Quick STEP: Similarity matrix for GEOBIA. QGIS plugin version 0.1.

Installation

This plugin has been uploaded to the main QGIS plugin repository and it don't required dependencies.

Example data

An example dataset for this plugin is located here: https://goo.gl/Gso2B3

Authors

Salomón Ramírez, Universidad Distrital Francisco José de Caldas, Colombia
Ivan Lizarazo, Universidad Nacional, Colombia

Contac

seramirezf@correo.udistrital.edu.co, ializarazos@unal.edu.co

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Accuracy assessment of object-based image classification

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