SAR Image Classification Using a Neural Classifier Based on Fisher Criterion

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Alexsandro M. Jacob Articles by Elder M. Hemerly Articles by David Fernandes

VII Brazilian Symposium on Neural Networks (SBRN'02)

Pernambuco, Brazil

November 11-November 14

ISBN: 0-7695-1709-9

	ASCII Text	x
	Alexsandro M. Jacob, Elder M. Hemerly, David Fernandes, "SAR Image Classification Using a Neural Classifier Based on Fisher Criterion," Neural Networks, Brazilian Symposium on, pp. 168, VII Brazilian Symposium on Neural Networks (SBRN'02), 2002.

	BibTex	x
	@article{ 10.1109/SBRN.2002.1181464, author = {Alexsandro M. Jacob and Elder M. Hemerly and David Fernandes}, title = {SAR Image Classification Using a Neural Classifier Based on Fisher Criterion}, journal ={Neural Networks, Brazilian Symposium on}, volume = {0}, year = {2002}, isbn = {0-7695-1709-9}, pages = {168}, doi = {http://doi.ieeecomputersociety.org/10.1109/SBRN.2002.1181464}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, Brazilian Symposium on TI - SAR Image Classification Using a Neural Classifier Based on Fisher Criterion SN - 0-7695-1709-9 SP EP A1 - Alexsandro M. Jacob, A1 - Elder M. Hemerly, A1 - David Fernandes, PY - 2002 KW - null VL - 0 JA - Neural Networks, Brazilian Symposium on ER -

Alexsandro M. Jacob, Instituto Tecnol?gico de Aeron?utica (ITA)

Elder M. Hemerly, Instituto Tecnol?gico de Aeron?utica (ITA)

David Fernandes, Instituto Tecnol?gico de Aeron?utica (ITA)

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SBRN.2002.1181464

A supervised neural classifier based on Fisher criterion is implemented to classify two regions in a real speckled SAR image. Regions around pre-classified pixels are presented to train the neural network that learns a sub-optimal set of masks via back-propagation algorithm. Classification performance is evaluated by using the ground truth. Results with higher than 90% of correct classification are obtained. The results are also compared with a statistical classifier based on Kullback-Liebler distance via the Kappa coefficient.

Citation:

Alexsandro M. Jacob, Elder M. Hemerly, David Fernandes, "SAR Image Classification Using a Neural Classifier Based on Fisher Criterion," sbrn, pp.168, VII Brazilian Symposium on Neural Networks (SBRN'02), 2002

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.