Classification of CBERS-2 imagery with fuzzy ARTMAP classifier
نویسندگان
چکیده
منابع مشابه
Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks
This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of the testing phase of the fuzzy ARTMAP that exhibits superior generalization performance compared to the generalization performance of the standard fuzzy ARTMAP in the presence of noise. An application to textured gray-sc...
متن کاملClassification of Incomplete Data Using the Fuzzy ARTMAP Neural Network
The fuzzy ARTMAP neural network is used to classify data that is incomplete in one or more ways. These include a limited number of training cases, missing components, missing class labels, and missing classes. Modifications for dealing with such incomplete data are introduced, and performance is assessed on an emitter identification task using a data base of radar pulses.
متن کاملCalibration of Constant Angular Error for Cbers-2 Imagery with Few Ground Control Points
The rigorous geometric model which depends on physical properties of the image acquisition is the basic model for object positioning of high resolution satellite imagery (HRSI). Using the linear and angular elements provided by ephemeris and attitude measuring system carried on the satellite, the object coordinates can be determined by the rigorous geometric model when the image coordinates are...
متن کاملSimplified fuzzy ARTMAP classification of individuals using optimal VEP channels
In previous studies, identification of individuals using 61 channel Visual Evoked Potential (VEP) signals from the brain has been shown to be feasible. These studies used neural network classification of gamma band spectral power of VEP signals from 20 individuals. This paper explores our continuing work in this area to include more subjects in the experiment and to reduce the number of require...
متن کاملI. Fuzzy Artmap for Probabll..rry Est1mall0n Ii. Fuzzy Artmap
An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP (adaptive resonance theory-supervised predictive mapping) neural network is introduced. In the slow-learning mode, fuzzy ARTMAP searches for patterns of data on which to build ever more accurate estimates. In max-nodes mode, the network initially learns a fixed number of categories, and weights are then adjust...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geo-spatial Information Science
سال: 2007
ISSN: 1009-5020,1993-5153
DOI: 10.1007/s11806-007-0043-y