Graph of Concepts for Semantic Annotation of Remotely Sensed Images based on Direct Neighbors in RAG-Reference-Cited by-同舟云学术

Graph of Concepts for Semantic Annotation of Remotely Sensed Images based on Direct Neighbors in RAG

Published:2018-11-02 Issue:6 Volume:44 Page:551-574
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Amiri Khitem¹,Farah Mohamed¹

Affiliation:

1. RIADI Research Laboratory, SIIVT Team, ENSI, Manouba University, Tunisia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2019.1569507

Reference60 articles.

1. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

2. Building and using fuzzy multimedia ontologies for semantic image annotation

3. Potentials and limits of vegetation indices for LAI and APAR assessment

4. Baret, F., Guyot, G., and Major, D.J. 1989. “TSAVI: a vegetation index which minimizes soil brightness effects on LAI and APAR estimation.” Geoscience and Remote Sensing Symposium. IGARSS'89. 12th Canadian Symposium on Remote Sensing. Vol. 3. IEEE, 1355–1358.

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