Title :
Neural nets and star/galaxy separation in wide field astronomical images
Author :
Andreon, Stefan ; Gargiulo, Giorgio ; Longo, Giuseppe ; Tagliaferri, Roberto ; Capuano, Nicola
Author_Institution :
Osservatorio Astron. di Capodimonte, Napoli, Italy
Abstract :
One of the most relevant problems in the extraction of scientifically useful information from wide field astronomical images (both photographic plates and CCD frames) is the recognition of the objects against a noisy background and their classification in unresolved (starlike) and resolved (galaxies) sources. In this paper we present a neural network based method capable to perform both tasks and discuss in detail the performance of object detection in a representative celestial field. The performance of our method is compared to that of other methodologies often used within the astronomical community
Keywords :
astronomy computing; galaxies; neural nets; object recognition; pattern classification; principal component analysis; stars; astronomical images; celestial field; neural network; noisy background; object recognition; pattern classification; principal component analysis; star/galaxy separation; Background noise; Charge coupled devices; Data preprocessing; Neural networks; Neurons; Object detection; Output feedback; Pixel; Principal component analysis; Telescopes;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830761
