Simultaneous remote sensing image classification and annotation based on the spatial coherent topic model

Zheng Zhang, Michael Ying Yang, Mei Zhou, Xiang Zhao Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

The traditional LDA models to solve the problem of scene classification lack the spatial relationship between the fragments of images or the parts of targets and linkages between the global and local information, so their performance is usually poor in stability for the images with clutter background. In this paper, a novel method for the simultaneous classification and annotation of remote sensing images with complex scenes is proposed. The Spatially Consistent Topic Model is defined by making full use of the correlation between image classification and annotation. We choose SIFT features, hue features and texture features as the visual words, which help to endow pixels of similar appearance region with the same hidden topic. Competitive results on remote sensing images demonstrate the precision and robustness of the proposed method.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium, 2014
Subtitle of host publicationIGARSS 2014
Place of PublicationQuébec City
PublisherIEEE
Pages1698-1701
Number of pages4
ISBN (Electronic)9781479957750
DOIs
Publication statusPublished - 4 Nov 2014
Externally publishedYes
EventJoint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS): Energy and our Changing Planet - Quebec City Convention Centre, Quebec, Canada
Duration: 13 Jul 201418 Jul 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceJoint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS)
Abbreviated titleIGARSS 2014
CountryCanada
CityQuebec
Period13/07/1418/07/14

Keywords

  • image annotation
  • Image classification
  • topic model
  • visual words

Fingerprint Dive into the research topics of 'Simultaneous remote sensing image classification and annotation based on the spatial coherent topic model'. Together they form a unique fingerprint.

  • Cite this

    Zhang, Z., Yang, M. Y., Zhou, M., & Zeng, X. Z. (2014). Simultaneous remote sensing image classification and annotation based on the spatial coherent topic model. In International Geoscience and Remote Sensing Symposium, 2014: IGARSS 2014 (pp. 1698-1701). [6946777] (International Geoscience and Remote Sensing Symposium (IGARSS)). Québec City: IEEE. https://doi.org/10.1109/IGARSS.2014.6946777