DocumentCode
513519
Title
Parameter-free clustering: Application to fawns detection
Author
Cerra, Daniele ; Israel, Martin ; Datcu, Mihai
Author_Institution
German Aerosp. Center, Remote Sensing Technol. Inst., Wessling, Germany
Volume
3
fYear
2009
fDate
12-17 July 2009
Abstract
Many fawns and other wild animals are killed by mowing machines every year. To prevent them from being killed or injured, a sensor system is being developed to detect the fawns hidden in meadows under mowing. Beside a microwave radar system, two cameras (thermal infrared and RGB) take a picture at the mower´s current location. This contribution focuses on the compression-based algorithm that will be adopted to detect the locations containing a fawn hiding in the grass: such approach, being parameter-free, allows performing a fully unsupervised clustering by exploiting the intrinsic properties of data compression to estimate the amount of shared information between two images.
Keywords
geophysical image processing; image recognition; image segmentation; infrared imaging; pattern clustering; remote sensing by radar; RGB camera; compression-based algorithm; fawns detection; image analysis; microwave radar system; mowing machines; parameter-free clustering; pattern recognition; sensor system; thermal infrared camera; wild animals; Animals; Cameras; Clustering algorithms; Data compression; Image analysis; Image coding; Infrared detectors; Infrared image sensors; Radar detection; Sensor systems; Parameter free; image analysis; pattern recognition; similarity measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5418293
Filename
5418293
Link To Document