Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery
Identifieur interne : 000111 ( Ncbi/Curation ); précédent : 000110; suivant : 000112Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery
Auteurs : So-Ra Kim ; Woo-Kyun Lee ; Doo-Ahn Kwak ; Greg S. Biging ; Peng Gong ; Jun-Hak Lee ; Hyun-Kook ChoSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2011.
Abstract
This study investigated whether high-resolution satellite imagery is suitable for preparing a detailed digital forest cover map that discriminates forest cover at the tree species level. First, we tried to find an optimal process for segmenting the high-resolution images using a region-growing method with the scale, color and shape factors in Definiens® Professional 5.0. The image was classified by a traditional, pixel-based, maximum likelihood classification approach using the spectral information of the pixels. The pixels in each segment were reclassified using a segment-based classification (SBC) with a majority rule. Segmentation with strongly weighted color was less sensitive to the scale parameter and led to optimal forest cover segmentation and classification. The pixel-based classification (PBC) suffered from the “salt-and-pepper effect” and performed poorly in the classification of forest cover types, whereas the SBC helped to attenuate the effect and notably improved the classification accuracy. As a whole, SBC proved to be more suitable for classifying and delineating forest cover using high-resolution satellite images.
Url:
DOI: 10.3390/s110201943
PubMed: 22319391
PubMed Central: 3274007
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery</title><author><name sortKey="Kim, So Ra" sort="Kim, So Ra" uniqKey="Kim S" first="So-Ra" last="Kim">So-Ra Kim</name><affiliation><nlm:aff id="af1-sensors-11-01943"> Division of Environmental Science and Ecological Engineering, Korea University, Seoul 136-701, Korea; E-Mails:<email>allwhile@korea.ac.kr</email> (S.-R.K.);<email>tulip96@korea.ac.kr</email> (D.-A.K.)</nlm:aff></affiliation></author><author><name sortKey="Lee, Woo Kyun" sort="Lee, Woo Kyun" uniqKey="Lee W" first="Woo-Kyun" last="Lee">Woo-Kyun Lee</name><affiliation><nlm:aff id="af1-sensors-11-01943"> Division of Environmental Science and Ecological Engineering, Korea University, Seoul 136-701, Korea; E-Mails:<email>allwhile@korea.ac.kr</email> (S.-R.K.);<email>tulip96@korea.ac.kr</email> (D.-A.K.)</nlm:aff></affiliation></author><author><name sortKey="Kwak, Doo Ahn" sort="Kwak, Doo Ahn" uniqKey="Kwak D" first="Doo-Ahn" last="Kwak">Doo-Ahn Kwak</name><affiliation><nlm:aff id="af1-sensors-11-01943"> Division of Environmental Science and Ecological Engineering, Korea University, Seoul 136-701, Korea; E-Mails:<email>allwhile@korea.ac.kr</email> (S.-R.K.);<email>tulip96@korea.ac.kr</email> (D.-A.K.)</nlm:aff></affiliation></author><author><name sortKey="Biging, Greg S" sort="Biging, Greg S" uniqKey="Biging G" first="Greg S." last="Biging">Greg S. Biging</name><affiliation><nlm:aff id="af2-sensors-11-01943"> Department of Environmental Science, Policy and Management, University of California at Berkeley, Mulford Hall, Berkeley, CA 94720, USA; E-Mails:<email>biging@berkeley.edu</email> (G.S.B.);<email>penggong@berkeley.edu</email> (P.G.);<email>jhlee@berkeley.edu</email> (J.-H.L.)</nlm:aff></affiliation></author><author><name sortKey="Gong, Peng" sort="Gong, Peng" uniqKey="Gong P" first="Peng" last="Gong">Peng Gong</name><affiliation><nlm:aff id="af2-sensors-11-01943"> Department of Environmental Science, Policy and Management, University of California at Berkeley, Mulford Hall, Berkeley, CA 94720, USA; E-Mails:<email>biging@berkeley.edu</email> (G.S.B.);<email>penggong@berkeley.edu</email> (P.G.);<email>jhlee@berkeley.edu</email> (J.-H.L.)</nlm:aff></affiliation></author><author><name sortKey="Lee, Jun Hak" sort="Lee, Jun Hak" uniqKey="Lee J" first="Jun-Hak" last="Lee">Jun-Hak Lee</name><affiliation><nlm:aff id="af2-sensors-11-01943"> Department of Environmental Science, Policy and Management, University of California at Berkeley, Mulford Hall, Berkeley, CA 94720, USA; E-Mails:<email>biging@berkeley.edu</email> (G.S.B.);<email>penggong@berkeley.edu</email> (P.G.);<email>jhlee@berkeley.edu</email> (J.-H.L.)</nlm:aff></affiliation></author><author><name sortKey="Cho, Hyun Kook" sort="Cho, Hyun Kook" uniqKey="Cho H" first="Hyun-Kook" last="Cho">Hyun-Kook Cho</name><affiliation><nlm:aff id="af3-sensors-11-01943"> Division of Forest Resources Information, Korean Forest Research Institute, Seoul 136-012, Korea; E-Mail:<email>hcho@forest.go.kr</email> (H.-K.C.)</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22319391</idno><idno type="pmc">3274007</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274007</idno><idno type="RBID">PMC:3274007</idno><idno type="doi">10.3390/s110201943</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">000245</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000245</idno><idno type="wicri:Area/Pmc/Curation">000245</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000245</idno><idno type="wicri:Area/Pmc/Checkpoint">000207</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000207</idno><idno type="wicri:Area/Ncbi/Merge">00111</idno><idno type="wicri:Area/Ncbi/Curation">000111</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery</title><author><name sortKey="Kim, So Ra" sort="Kim, So Ra" uniqKey="Kim S" first="So-Ra" last="Kim">So-Ra Kim</name><affiliation><nlm:aff id="af1-sensors-11-01943"> Division of Environmental Science and Ecological Engineering, Korea University, Seoul 136-701, Korea; E-Mails:<email>allwhile@korea.ac.kr</email> (S.-R.K.);<email>tulip96@korea.ac.kr</email> (D.-A.K.)</nlm:aff></affiliation></author><author><name sortKey="Lee, Woo Kyun" sort="Lee, Woo Kyun" uniqKey="Lee W" first="Woo-Kyun" last="Lee">Woo-Kyun Lee</name><affiliation><nlm:aff id="af1-sensors-11-01943"> Division of Environmental Science and Ecological Engineering, Korea University, Seoul 136-701, Korea; E-Mails:<email>allwhile@korea.ac.kr</email> (S.-R.K.);<email>tulip96@korea.ac.kr</email> (D.-A.K.)</nlm:aff></affiliation></author><author><name sortKey="Kwak, Doo Ahn" sort="Kwak, Doo Ahn" uniqKey="Kwak D" first="Doo-Ahn" last="Kwak">Doo-Ahn Kwak</name><affiliation><nlm:aff id="af1-sensors-11-01943"> Division of Environmental Science and Ecological Engineering, Korea University, Seoul 136-701, Korea; E-Mails:<email>allwhile@korea.ac.kr</email> (S.-R.K.);<email>tulip96@korea.ac.kr</email> (D.-A.K.)</nlm:aff></affiliation></author><author><name sortKey="Biging, Greg S" sort="Biging, Greg S" uniqKey="Biging G" first="Greg S." last="Biging">Greg S. Biging</name><affiliation><nlm:aff id="af2-sensors-11-01943"> Department of Environmental Science, Policy and Management, University of California at Berkeley, Mulford Hall, Berkeley, CA 94720, USA; E-Mails:<email>biging@berkeley.edu</email> (G.S.B.);<email>penggong@berkeley.edu</email> (P.G.);<email>jhlee@berkeley.edu</email> (J.-H.L.)</nlm:aff></affiliation></author><author><name sortKey="Gong, Peng" sort="Gong, Peng" uniqKey="Gong P" first="Peng" last="Gong">Peng Gong</name><affiliation><nlm:aff id="af2-sensors-11-01943"> Department of Environmental Science, Policy and Management, University of California at Berkeley, Mulford Hall, Berkeley, CA 94720, USA; E-Mails:<email>biging@berkeley.edu</email> (G.S.B.);<email>penggong@berkeley.edu</email> (P.G.);<email>jhlee@berkeley.edu</email> (J.-H.L.)</nlm:aff></affiliation></author><author><name sortKey="Lee, Jun Hak" sort="Lee, Jun Hak" uniqKey="Lee J" first="Jun-Hak" last="Lee">Jun-Hak Lee</name><affiliation><nlm:aff id="af2-sensors-11-01943"> Department of Environmental Science, Policy and Management, University of California at Berkeley, Mulford Hall, Berkeley, CA 94720, USA; E-Mails:<email>biging@berkeley.edu</email> (G.S.B.);<email>penggong@berkeley.edu</email> (P.G.);<email>jhlee@berkeley.edu</email> (J.-H.L.)</nlm:aff></affiliation></author><author><name sortKey="Cho, Hyun Kook" sort="Cho, Hyun Kook" uniqKey="Cho H" first="Hyun-Kook" last="Cho">Hyun-Kook Cho</name><affiliation><nlm:aff id="af3-sensors-11-01943"> Division of Forest Resources Information, Korean Forest Research Institute, Seoul 136-012, Korea; E-Mail:<email>hcho@forest.go.kr</email> (H.-K.C.)</nlm:aff></affiliation></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>This study investigated whether high-resolution satellite imagery is suitable for preparing a detailed digital forest cover map that discriminates forest cover at the tree species level. First, we tried to find an optimal process for segmenting the high-resolution images using a region-growing method with the scale, color and shape factors in Definiens<sup>®</sup> Professional 5.0. The image was classified by a traditional, pixel-based, maximum likelihood classification approach using the spectral information of the pixels. The pixels in each segment were reclassified using a segment-based classification (SBC) with a majority rule. Segmentation with strongly weighted color was less sensitive to the scale parameter and led to optimal forest cover segmentation and classification. The pixel-based classification (PBC) suffered from the “salt-and-pepper effect” and performed poorly in the classification of forest cover types, whereas the SBC helped to attenuate the effect and notably improved the classification accuracy. As a whole, SBC proved to be more suitable for classifying and delineating forest cover using high-resolution satellite images.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Achard, F" uniqKey="Achard F">F. Achard</name></author><author><name sortKey="Eva, H" uniqKey="Eva H">H. Eva</name></author><author><name sortKey="Mayaux, P" uniqKey="Mayaux P">P. Mayaux</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dralle, K" uniqKey="Dralle K">K. Dralle</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Key, T" uniqKey="Key T">T. Key</name></author><author><name sortKey="Warner, T A" uniqKey="Warner T">T.A. Warner</name></author><author><name sortKey="Mcgraw, J B" uniqKey="Mcgraw J">J.B. McGraw</name></author><author><name sortKey="Fajvan, M" uniqKey="Fajvan M">M. 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