<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<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>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XL-8-1185-2014</article-id>
<title-group>
<article-title>Shadow Analysis Technique for Extraction of Building Height using High Resolution Satellite Single Image and Accuracy Assessment</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Raju</surname>
<given-names>P. L. N.</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>Chaudhary</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jha</surname>
<given-names>A. K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Remote Sensing and Geoinformatics Group, Indian Institute of Remote Sensing, ISRO, Dehradun, India</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>G.D. Colony, Mayur Vihar Phase 3, New Delhi, 110096, India</addr-line>
</aff>
<pub-date pub-type="epub">
<day>28</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>XL-8</volume>
<fpage>1185</fpage>
<lpage>1192</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 P. L. N. Raju et al.</copyright-statement>
<copyright-year>2014</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>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-8/1185/2014/isprs-archives-XL-8-1185-2014.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-8/1185/2014/isprs-archives-XL-8-1185-2014.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-8/1185/2014/isprs-archives-XL-8-1185-2014.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-8/1185/2014/isprs-archives-XL-8-1185-2014.pdf</self-uri>
<abstract>
<p>These High resolution satellite data with metadata information is used to extract the height of the building using shadow. Proposed
approach divides into two phases 1) rooftop and shadow extraction and 2) height estimation. Firstly the rooftop and shadow region
were extracted by manual/ automatic methods using Example – Based and Rule – Based approaches. After feature extraction next
step is estimating height of the building by taking rooftop in association with shadow using Ratio Method and by using the relation
between sun-satellite geometry. The performance analysis shows the total mean error of height is 0.67 m from ratio method, 1.51 m
from Example – Based Approach and 0.96 m from Rule – Based Approach. Analysis concluded that Ratio Method i.e. manual
method is best for height estimation but it is time consuming so the automatic Rule Based approach is best for height estimation in
comparison to Example Based Approach because it require more knowledge and selection of more training samples as well as slows
the processing rate of the method.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>