{"id":{"repo_id":"nps","oai_identifier":"oai:calhoun.nps.edu:10945/13418"},"canonical_url":"https://search.dev.ndltd.org/etd/nps/oai:calhoun.nps.edu:10945/13418","repository":{"repo_id":"nps","name":"Naval Postgraduate School","base_url":"https://calhoun.nps.edu/server/oai/request"},"display":{"title":"Computer-aided recognition of man-made structures in aerial photographs","abstract":"Aerial image acquisition systems are producing more data than can be analyzed by human experts. Most of the images produced by remote sensing satellites, including military ones, never get seen or inspected. In this work, automated detection and recognition of buildings in aerial photos is explored. Connectivity analysis is performed on graphs derived from line segment representations of the original images, obtained with the use of the Radon Transform. The model is experimentally validated using 2-meter panchromatic aerial photographs from the National Aerial Photography Program (NAPP), which provide a marginally adequate resolution for the recognition of small buildings.","abstract_html":"Aerial image acquisition systems are producing more data than can be analyzed by human experts. Most of the images produced by remote sensing satellites, including military ones, never get seen or inspected. In this work, automated detection and recognition of buildings in aerial photos is explored. Connectivity analysis is performed on graphs derived from line segment representations of the original images, obtained with the use of the Radon Transform. The model is experimentally validated using 2-meter panchromatic aerial photographs from the National Aerial Photography Program (NAPP), which provide a marginally adequate resolution for the recognition of small buildings.","abstract_has_math":false,"creators":["Cardoso, Luiz Alberto Lisboa da Silva"],"institution":"Monterey, California: Naval Postgraduate School","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Rowe, Neil C."],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999-12","date_published":"1999-12","updated_at":"2026-07-27T20:26:38Z","subjects":[],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10945/13418","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Rowe, Neil C."]},{"key":"dc:creator","label":"Author","values":["Cardoso, Luiz Alberto Lisboa da Silva"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["December, 1999"]},{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2012-09-07T15:34:05Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2012-09-07T15:34:05Z"]},{"key":"dc:date.issued","label":"Date","values":["1999-12"]},{"key":"dc:publisher","label":"Institution","values":["Monterey, California: Naval Postgraduate School"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10945/13418"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Aerial image acquisition systems are producing more data than can be analyzed by human experts. Most of the images produced by remote sensing satellites, including military ones, never get seen or inspected. In this work, automated detection and recognition of buildings in aerial photos is explored. Connectivity analysis is performed on graphs derived from line segment representations of the original images, obtained with the use of the Radon Transform. The model is experimentally validated using 2-meter panchromatic aerial photographs from the National Aerial Photography Program (NAPP), which provide a marginally adequate resolution for the recognition of small buildings."]},{"key":"dc:title","label":"Title","values":["Computer-aided recognition of man-made structures in aerial photographs"]}]}],"canonical_facts":{"dc:contributor.advisor":["Rowe, Neil C."],"dc:creator":["Cardoso, Luiz Alberto Lisboa da Silva"],"dc:date":["December, 1999"],"dc:date.accessioned":["2012-09-07T15:34:05Z"],"dc:date.available":["2012-09-07T15:34:05Z"],"dc:date.issued":["1999-12"],"dc:description.abstract":["Aerial image acquisition systems are producing more data than can be analyzed by human experts. Most of the images produced by remote sensing satellites, including military ones, never get seen or inspected. In this work, automated detection and recognition of buildings in aerial photos is explored. 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