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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5209
Title: A Cognitive Viewpoint on Building Detection from Remotely Sensed Multispectral Images
Authors: Chandra N.
Ghosh, Jayanta Kumar
Published in: IETE Journal of Research
Abstract: This research work introduces a new cognitive-based automated approach for detecting buildings from very high-resolution (VHR) multispectral images. VHR satellite imagery is a valuable source of information to many researchers working in extraction of geospatial information. In this study, cognitive processes used by humans are emulated and incorporated with cognitive task analysis (CTA) in order to detect buildings from VHR multispectral images. CTA is carried out in five stages. The performance of the proposed method is assessed over 14 test images of an urban region. The average f-score, precision, and recall for all test patches are computed as 62.50%, 68.45%, and 59.80%, respectively. ¬© 2018 IETE.
Citation: IETE Journal of Research(2018), 64(2): 165-175
URI: https://doi.org/10.1080/03772063.2017.1351320
http://repository.iitr.ac.in/handle/123456789/5209
Issue Date: 2018
Publisher: Taylor and Francis Ltd
Keywords: Classification
Cognitive
Knowledge
Segmentation
ISSN: 3772063
Author Scopus IDs: 57191964249
34968946700
Author Affiliations: Chandra, N., Department of Civil Engineering, IIT Roorkee, Roorkee, 247-667, India
Ghosh, J.K., Department of Civil Engineering, IIT Roorkee, Roorkee, 247-667, India
Appears in Collections:Journal Publications [CE]

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