Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network
نویسندگان
چکیده
منابع مشابه
Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network
This paper proposes a hybrid classifier for polarimetric SAR images. The feature sets consist of span image, the H/A/α decomposition, and the GLCM-based texture features. Then, a probabilistic neural network (PNN) was adopted for classification, and a novel algorithm proposed to enhance its performance. Principle component analysis (PCA) was chosen to reduce feature dimensions, random division ...
متن کاملRemote Sensing Image Analysis via a Texture Classification Neural Network
In this work we apply a texture classification network to remote sensing image analysis. The goal is to extract the characteristics of the area depicted in the input image, thus achieving a segmented map of the region. We have recently proposed a combined neural network and rule-based framework for texture recognition. The framework uses unsupervised and supervised learning, and provides probab...
متن کاملRemote Sensing Image Classification Based on a Modified Self-organizing Neural Network with a Priori Knowledge
To improve the accuracy of remote sensing image classification based on a self-organizing competitive neural network, this paper firstly uses principal component analysis to reduce redundancy of the multi-spectral remote sensing image data, and then takes the earth surface structure information in horizontal and vertical directions of the target area as a prior knowledge. The self-organizing co...
متن کاملComparison with Two Classification Algorithms of Remote Sensing Image Based on Neural Network
The traditional approaches of classification are always unfavorable in the description of information distribution. This paper describes the BP neural network approach and the Kohonen neural network approach to the classification of remote sensing images. Two algorithms have their own traits and can be good used in the classification. A qualitative comparison demonstrates that both original ima...
متن کاملBayesian Network Classifiers. An Application to Remote Sensing Image Classification
Different probabilistic models for classification and prediction problems are anlyzed in this article studying their behaviour and capability in data classification. To show the capability of Bayesian Networks to deal with classification problems four types of Bayesian Networks are introduced, a General Bayesian Network, the Naive Bayes, a Bayesian Network Augmented Naive Bayes and the Tree Aug...
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: Sensors
سال: 2009
ISSN: 1424-8220
DOI: 10.3390/s90907516