Hyperspectral Image Classification Based on Hierarchical SVM Algorithm for Improving Overall Accuracy
نویسندگان
چکیده
منابع مشابه
SFLA Based Gene Selection Approach for Improving Cancer Classification Accuracy
In this paper, we propose a new gene selection algorithm based on Shuffled Frog Leaping Algorithm that is called SFLA-FS. The proposed algorithm is used for improving cancer classification accuracy. Most of the biological datasets such as cancer datasets have a large number of genes and few samples. However, most of these genes are not usable in some tasks for example in cancer classification....
متن کاملSpectral-spatial classification of hyperspectral images by combining hierarchical and marker-based Minimum Spanning Forest algorithms
Many researches have demonstrated that the spatial information can play an important role in the classification of hyperspectral imagery. This study proposes a modified spectral–spatial classification approach for improving the spectral–spatial classification of hyperspectral images. In the proposed method ten spatial/texture features, using mean, standard deviation, contrast, homogeneity, corr...
متن کاملImpacts of Noise on the Accuracy of Hyperspectral Image Classification by SVM
The support vector machine (SVM) has become a popular tool for image classification recently. The performance of SVM for hyperspectral image classification has been examined from a range of perspectives, but the impacts of noise, errors and uncertainties have attracted less attention. This paper aims to evaluate the impacts of noise on SVM classification. The research is undertaken using real i...
متن کاملA Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection
K nearest neighbor algorithm is one of the most frequently used techniques in data mining for its integrity and performance. Though the KNN algorithm is highly effective in many cases, it has some essential deficiencies, which affects the classification accuracy of the algorithm. First, the effectiveness of the algorithm is affected by redundant and irrelevant features. Furthermore, this algori...
متن کاملSatellite Image Classification Using Genetic Algorithm Based on SVM Classifier
Objectivies: SVM is Mainly established for linear multi-class classification through building a finest splitting hyperplane, here the scope is maximized. SVM is useful for core deception to plot the novel key in space into a high dimensional attribute slot to improve the classifier generality ability when the training data is not linear splitable. Methods/Analysis: GA is a speculator and the em...
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: Advances in Remote Sensing
سال: 2017
ISSN: 2169-267X,2169-2688
DOI: 10.4236/ars.2017.61005