{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T04:22:23Z","timestamp":1783657343340,"version":"3.55.0"},"reference-count":18,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2007,5]]},"abstract":"<jats:p> A new method for estimating fractal dimension of tree crowns from digital images is presented. Three species of trees, Japanese yew (Taxus cuspidata Sieb &amp; Zucc), Hicks yew (Taxus \u00d7 media), and eastern white pine (Pinus strobus L.), were studied. Fractal dimensions of Japanese yew and Hicks yew range from 2.26 to 2.70. Fractal dimension of eastern white pine range from 2.14 to 2.43. The difference in fractal dimension between Japanese yew and eastern white pine was statistically significant at 0.05 significance level as was the difference in fractal dimension between Hicks yew and eastern white pine. On average, the greater fractal dimensions of Japanese yew and Hicks yew were possibly related to uniform foliage distribution within their tree crowns. Therefore, fractal dimension may be useful for tree crown structure classification and for indexing tree images. <\/jats:p>","DOI":"10.1142\/s0218001407005090","type":"journal-article","created":{"date-parts":[[2007,6,22]],"date-time":"2007-06-22T02:42:56Z","timestamp":1182480176000},"page":"561-572","source":"Crossref","is-referenced-by-count":16,"title":["A METHOD FOR ESTIMATING FRACTAL DIMENSION OF TREE CROWNS FROM DIGITAL IMAGES"],"prefix":"10.1142","volume":"21","author":[{"given":"DONGSHENG","family":"ZHANG","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE 68588-0115, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"ASHOK","family":"SAMAL","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE 68588-0115, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JAMES R.","family":"BRANDLE","sequence":"additional","affiliation":[{"name":"School of Natural Resources Science, University of Nebraska, Lincoln, NE 68588-0115, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1109\/34.368149"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(90)90085-E"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(94)00076-F"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767956"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1016\/0734-189X(89)90130-8"},{"key":"rf7","volume-title":"The Fractal Geometry of Nature","author":"Mandelbrot B. B.","year":"1982"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1038\/308721a0"},{"key":"rf9","volume-title":"Fractal Geometries: Theory and Applications","author":"Mehaute A. L.","year":"1991"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1038\/314731a0"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767557"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767591"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(86)90052-4"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-8476-2"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1117\/1.1426081"},{"key":"rf17","first-page":"336","author":"Stewart I.","journal-title":"Nature"},{"key":"rf18","volume-title":"Scaling Phenomena in Disordered Systems","author":"Voss R."},{"key":"rf19","first-page":"1253","volume":"5","author":"Zeide B.","journal-title":"Forest Sci."},{"key":"rf20","first-page":"565","volume":"176","author":"Zhang D. J.","journal-title":"Inform. Sci."}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001407005090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:20:05Z","timestamp":1565144405000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001407005090"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,5]]},"references-count":18,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2007,5]]}},"alternative-id":["10.1142\/S0218001407005090"],"URL":"https:\/\/doi.org\/10.1142\/s0218001407005090","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,5]]}}}