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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>ISPRS</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XXXIX-B7-357-2012</article-id>
<title-group>
<article-title>ACCURACY IMPROVEMENT OF CHANGE DETECTION BASED ON COLOR ANALYSIS</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Koizumi</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kamiya</surname>
<given-names>T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>System Technologies Laboratories, NEC System Technologies, Ltd., 6300212, Ikoma, Japan</addr-line>
</aff>
<pub-date pub-type="epub">
<day>01</day>
<month>08</month>
<year>2012</year>
</pub-date>
<volume>XXXIX-B7</volume>
<fpage>357</fpage>
<lpage>361</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 J. Wang et al.</copyright-statement>
<copyright-year>2012</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
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<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XXXIX-B7/357/2012/isprs-archives-XXXIX-B7-357-2012.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B7/357/2012/isprs-archives-XXXIX-B7-357-2012.pdf</self-uri>
<abstract>
<p>Change detection is one of the most important topics in the application field of aerial images and satellite images. In this paper, a
novel framework for accuracy improvement on change detection is proposed. The proposed framework consists of three parts. Firstly,
the location difference between the two orthoimages for change detection is rectified globally. Secondly, the illumination change of
the orthoimages from two different times is adjusted to produce the orthoimages with more unified illumination condition. Thirdly,
the location difference between the two orthoimages is adjusted in more precise level of local regions. Experimental results show that
the detection accuracy of change detection is greatly improved through the pre-processing of the proposed framework.</p>
</abstract>
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