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Development of a Knowledge Driven Rule Set for Classification of Submerged Aquatic Vegetation (SAV) in a Clear Water Stream: Where Do You Draw the Boundaries...?

Visser, Fleur and Buis, K. and Verschoren, V. and Schoelynck, J. (2016) Development of a Knowledge Driven Rule Set for Classification of Submerged Aquatic Vegetation (SAV) in a Clear Water Stream: Where Do You Draw the Boundaries...? University of Twente Proceedings. ISSN https://doi.org/10.3990/2.381

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Abstract

A recent attempt at mapping submerged aquatic vegetation (SAV) species composition of a clear water stream in Belgium from ultra-high resolution, multispectral photographs, using object based image analysis (OBIA), resulted in a low, but consistent overall classification accuracy (53-61%). Since the results were obtained with a single rule set they show promise for the development of an automated tool to map SAV despite the challenges of its submerged environment. This extended abstract investigates to what extent difficulties with species delineation in the validation data may have influenced the results. We compare class boundaries, as drawn by experts along image segmentation outlines, with the results from the expert knowledge driven classification rules. A comparison for ‘pure’ objects, where the expert is certain about the assigned object class, resulted in a moderately good overall similarity (68%), while inclusion of ambiguous objects reduces the results to 59%. Under ideal circumstances the rule set seems capable of 74% similarity with expert validation data.

Item Type: Article
Additional Information:

Proceedings of conference:
GEOBIA 2016 : Solutions and Synergies. University of Twente

Uncontrolled Keywords: marcophytes, OBIA, remote sensing, VHR image data, knowledge-based, water stream
Subjects: G Geography. Anthropology. Recreation > GB Physical geography
G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QK Botany
T Technology > TR Photography
Divisions: Academic Departments > Institute of Science and the Environment
Related URLs:
Depositing User: Fleur Visser
Date Deposited: 13 Nov 2017 13:50
Last Modified: 13 Nov 2017 13:50
URI: https://eprints.worc.ac.uk/id/eprint/6101

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