{"id":994,"date":"2014-01-01T15:22:24","date_gmt":"2014-01-01T17:22:24","guid":{"rendered":"https:\/\/webhomserverphp82.asav.org.br\/softwarelab\/?p=994"},"modified":"2019-03-18T08:26:12","modified_gmt":"2019-03-18T11:26:12","slug":"spectral-pattern-classification-in-lidar-data-for-rock-identification-in-outcrops","status":"publish","type":"post","link":"https:\/\/unisinos.br\/softwarelab\/pt\/spectral-pattern-classification-in-lidar-data-for-rock-identification-in-outcrops\/","title":{"rendered":"Spectral Pattern Classification in Lidar Data for Rock Identification in Outcrops"},"content":{"rendered":"

The present study aimed to develop and implement a method for detection and classification of spectral signatures in point clouds obtained from terrestrial laser scanner in order to identify the presence of different rocks in outcrops and to generate a digital outcrop model. To achieve this objective, a software based on cluster analysis was created, named K-Clouds. This software was developed through a partnership between UNISINOS and the company V3D. This tool was designed to begin with an analysis and interpretation of a histogram from a point cloud of the outcrop and subsequently indication of a number of classes provided by the user, to process the intensity return values. This classified information can then be interpreted by geologists, to provide a better understanding and identification from the existing rocks in the outcrop. Beyond the detection of different rocks, this work was able to detect small changes in the physical-chemical characteristics of the rocks, as they were caused by weathering or compositional changes.<\/p>\n

The Scientific World Journal<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The present study aimed to develop and implement a method for detection and classification of spectral signatures in point clouds obtained from terrestrial laser scanner in order to identify the presence of different rocks in outcrops and to generate a digital outcrop model. To achieve this objective, a software based on cluster analysis was created, […]<\/p>\n","protected":false},"author":7,"featured_media":192,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18,34,36,19,54],"tags":[],"class_list":["post-994","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-luiz-gonzaga-da-silveira-junior","category-mauricio-roberto-veronez","category-publicacoes-mauricio-roberto-veronez","category-publicacoes-luiz-gonzaga-da-silveira-junior","category-publicacoes-2"],"_links":{"self":[{"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/posts\/994","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/comments?post=994"}],"version-history":[{"count":1,"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/posts\/994\/revisions"}],"predecessor-version":[{"id":995,"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/posts\/994\/revisions\/995"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/media\/192"}],"wp:attachment":[{"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/media?parent=994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/categories?post=994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/unisinos.br\/softwarelab\/wp-json\/wp\/v2\/tags?post=994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}