?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=https%3A%2F%2Fpure.iiasa.ac.at%2Fid%2Feprint%2F4964%2F&rft.title=Spectral+Pattern+Recognition+and+Fuzzy+Artmap+Classification%3A+Design+Features%2C+System+Dynamics+and+Real+World+Simulation&rft.creator=Fischer%2C+M.M.&rft.creator=Gopal%2C+S.&rft.description=Classification+of+terrain+cover+from+satellite+radar+imagery+represents+an+area+of+considerable+current+interest+and+research.+Most+satellite+sensors+used+for+land+applications+are+of+the+imaging+type.+They+record+data+in+a+variety+of+spectral+channels+and+at+a+variety+of+ground+resolutions.+Spectral+pattern+recognition+refers+to+classification+procedures+utilizing+pixel-by-pixel+spectral+information+as+the+basis+for+automated+land+cover+classification.+A+number+of+methods+have+been+developed+in+the+past+to+classify+pixels+%5Bresolution+cells%5D+from+multispectral+imagery+to+a+priori+given+land+cover+categories.+Their+ability+to+provide+land+cover+information+with+high+classification+accuracies+is+significant+for+work+where+accurate+and+reliable+thematic+information+is+needed.+The+current+trend+towards+the+use+of+more+spectral+bands+on+satellite+instruments%2C+such+as+visible+and+infrared+imaging+spectrometers%2C+and+finer+pixel+and+grey+level+resolutions+will+offer+more+precise+possibilities+for+accurate+identification.+But+as+the+complexity+of+the+data+grows%2C+so+too+does+the+need+for+more+powerful+tools+to+analyse+them.+%0D%0A%0D%0AIt+is+the+major+objective+of+this+study+to+analyse+the+capabilities+and+applicability+of+the+neural+pattern+recognition+system%2C+called+fuzzy+ARTMAP%2C+to+generate+high+quality+classifications+of+urban+land+cover+using+remotely+sensed+images.+Fuzzy+ARTMAP+synthesizes+fuzzy+logic+and+Adaptive+Resonance+Theory+(ART)+by+exploiting+the+formal+similarity+between+the+computations+of+fuzzy+subsethood+and+the+dynamics+of+category+choice%2C+search+and+learning.+The+paper+describes+design+features%2C+system+dynamics+and+simulation+algorithms+of+this+learning+system%2C+which+is+trained+and+tested+for+classification+(8+a+priori+given+classes)+of+a+multispectral+image+of+a+Landsat-5+Thematic+Mapper+scene+(270+x+360+pixels)+from+the+City+of+Vienna+on+a+pixel-by-pixel+basis.+Fuzzy+ARTMAP+performance+is+compared+with+that+of+an+error-based+learning+system+based+upon+the+multi-layer+perceptron%2C+and+the+Gaussian+maximum+likelihood+classifier+as+conventional+statistical+benchmark+on+the+same+database.+Both+neural+classifiers+outperform+the+conventional+classifier+in+terms+of+classification+accuracy.+Fuzzy+ARTMAP+leads+to+out-of-sample+classification+accuracies%2C+very+close+to+maximum+performance%2C+while+the+multi-layer+perceptron--like+the+conventional+classifier--shows+difficulties+to+distinguish+between+some+land+use+categories.&rft.publisher=WP-96-063&rft.date=1996-06&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=https%3A%2F%2Fpure.iiasa.ac.at%2Fid%2Feprint%2F4964%2F1%2FWP-96-063.pdf&rft.identifier=++Fischer%2C+M.M.+%26+Gopal%2C+S.+%3Chttps%3A%2F%2Fpure.iiasa.ac.at%2Fview%2Fiiasa%2F1915.html%3E++(1996).++Spectral+Pattern+Recognition+and+Fuzzy+Artmap+Classification%3A+Design+Features%2C+System+Dynamics+and+Real+World+Simulation.+++IIASA+Working+Paper.+IIASA%2C+Laxenburg%2C+Austria%3A+WP-96-063+++++