<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>3</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Barata, T</style></author><author><style face="normal" font="default" size="100%">Pina, P</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Talbot, H and Beare, R</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Morphological segmentation of remotely sensed forest covers in high spatial resolution images</style></title><secondary-title><style face="normal" font="default" size="100%">MATHEMATICAL MORPHOLOGY, PROCEEDINGS</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">forest covers</style></keyword><keyword><style  face="normal" font="default" size="100%">high spatial resolution images</style></keyword><keyword><style  face="normal" font="default" size="100%">segmentation</style></keyword><keyword><style  face="normal" font="default" size="100%">textural features</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2002</style></year></dates><publisher><style face="normal" font="default" size="100%">C S I R O</style></publisher><pub-location><style face="normal" font="default" size="100%">PO BOX 89 (EAST ALBERT ST), EAST MELBOURNE, 3002, AUSTRALIA</style></pub-location><pages><style face="normal" font="default" size="100%">137-146</style></pages><isbn><style face="normal" font="default" size="100%">0-643-06804-X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper novel algorithms developed to automatically segment forest cover types are presented. The digital image analysis followed is mainly based on mathematical morphology operators and exploits the textural features in high spatial resolution images. These input images consist of true colour digital orthophotos and the studied forest covers consist of the main occurrences in Portugal: olive trees, cork oak trees, pine and eucalyptus trees.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pina, P</style></author><author><style face="normal" font="default" size="100%">FORTES, M A</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Characterization of cells in cork</style></title><secondary-title><style face="normal" font="default" size="100%">JOURNAL OF PHYSICS D-APPLIED PHYSICS</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><publisher><style face="normal" font="default" size="100%">IOP PUBLISHING LTD</style></publisher><pub-location><style face="normal" font="default" size="100%">TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND</style></pub-location><volume><style face="normal" font="default" size="100%">29</style></volume><pages><style face="normal" font="default" size="100%">2507-2514</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Various topological and metric properties of the cells in the phelogen&lt;br/&gt;of the cork oak have been measured in tangential sections of cork by&lt;br/&gt;image analysis methods. These include the fractions f(i) of cells with i&lt;br/&gt;sides (i-cells), the fractions f(ik), of adjacencies between i- and&lt;br/&gt;k-cells and various distributions of cell areas in relation to topology.</style></abstract></record></records></xml>