Computer-aided recognition of man-made structures in aerial photographs

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.

Grantor dc:publisher

Monterey, California: Naval Postgraduate School

Year dc:date.issued

1999

Author dc:creator

• Cardoso, Luiz Alberto Lisboa da Silva

Advisor dc:contributor.advisor

• Rowe, Neil C.

Language dc:language.iso

en_US

Handle dc:identifier.uri

https://hdl.handle.net/10945/13418

OAI identifier oai:identifier

oai:calhoun.nps.edu:10945/13418