Bag of Lines (BoL) for Improved Aerial Scene Representation

Sridharan, Harini; Cheriyadat, Anil M.

doi:10.1109/LGRS.2014.2357392

Title: Bag of Lines (BoL) for Improved Aerial Scene Representation

Abstract

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.

Authors:

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

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

Publication Date:: Mon Sep 22 00:00:00 EDT 2014

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1163157

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Geoscience and Remote Sensing Letters

Additional Journal Information:: Journal Volume: 12; Journal Issue: 3; Journal ID: ISSN 1545-598X

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Sridharan, Harini, and Cheriyadat, Anil M. Bag of Lines (BoL) for Improved Aerial Scene Representation.  United States: N. p., 2014. 
Web.  doi:10.1109/LGRS.2014.2357392.

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                    Sridharan, Harini, & Cheriyadat, Anil M. Bag of Lines (BoL) for Improved Aerial Scene Representation.  United States.  https://doi.org/10.1109/LGRS.2014.2357392

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                    Sridharan, Harini, and Cheriyadat, Anil M. Mon .  
"Bag of Lines (BoL) for Improved Aerial Scene Representation".  United States.  https://doi.org/10.1109/LGRS.2014.2357392.  https://www.osti.gov/servlets/purl/1163157.

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@article{osti_1163157,

  title        = {Bag of Lines (BoL) for Improved Aerial Scene Representation},

  author       = {Sridharan, Harini and Cheriyadat, Anil M.},

  abstractNote = {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.},

  doi          = {10.1109/LGRS.2014.2357392},

  journal      = {IEEE Geoscience and Remote Sensing Letters},

  number       = 3,

  volume       = 12,

  place        = {United States},

  year         = {Mon Sep 22 00:00:00 EDT 2014},

  month        = {Mon Sep 22 00:00:00 EDT 2014}

}

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https://doi.org/10.1109/LGRS.2014.2357392

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