Bag of Lines (BoL) for Improved Aerial Scene Representation

Journal Article · Mon Sep 22 00:00:00 EDT 2014 · IEEE Geoscience and Remote Sensing Letters

DOI:https://doi.org/10.1109/LGRS.2014.2357392· OSTI ID:1163157

Sridharan, Harini ^[1]; Cheriyadat, Anil M. ^[1]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Feature representation is a key step in automated visual content interpretation. In this letter, we present a robust feature representation technique, referred to as bag of lines (BoL), for high-resolution aerial scenes. The proposed technique involves extracting and compactly representing low-level line primitives from the scene. The compact scene representation is generated by counting the different types of lines representing various linear structures in the scene. Through extensive experiments, we show that the proposed scene representation is invariant to scale changes and scene conditions and can discriminate urban scene categories accurately. We compare the BoL representation with the popular scale invariant feature transform (SIFT) and Gabor wavelets for their classification and clustering performance on an aerial scene database consisting of images acquired by sensors with different spatial resolutions. The proposed BoL representation outperforms the SIFT- and Gabor-based representations.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1163157
• Journal Information: IEEE Geoscience and Remote Sensing Letters, Vol. 12, Issue 3; ISSN 1545-598X
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING