Effects of Hyperspectral Data Transformations on Urban Inter-class Separations using a Support Vector Machine
نویسندگان
چکیده
منابع مشابه
High performance of the support vector machine in classifying hyperspectral data using a limited dataset
To prospect mineral deposits at regional scale, recognition and classification of hydrothermal alteration zones using remote sensing data is a popular strategy. Due to the large number of spectral bands, classification of the hyperspectral data may be negatively affected by the Hughes phenomenon. A practical way to handle the Hughes problem is preparing a lot of training samples until the size ...
متن کاملhigh performance of the support vector machine in classifying hyperspectral data using a limited dataset
to prospect mineral deposits at regional scale, recognition and classification of hydrothermal alteration zones using remote sensing data is a popular strategy. due to the large number of spectral bands, classification of the hyperspectral data may be negatively affected by the hughes phenomenon. a practical way to handle the hughes problem is preparing a lot of training samples until the size ...
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A progressive two-class decision classifier (pTCDC) was developed for hyperspectral data mapping to achieve maximum class separations between each class pair. In this paper, pTCDC is tested further by comparing it with other possible ways of converting multiclass to two-class classification including one-against-all and one-to-one methods used in implementing the newly developed support vector ...
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A new spectral-spatial classification scheme for hyperspectral images is presented. Pixel-wise Support Vector Machines classification and segmentation are performed independently, and then the results are combined, using the majority vote approach. Thus, every region from a segmentation map defines an adaptive neighborhood for all the pixels within this region. The use of several segmentation t...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2010
ISSN: 1812-5654
DOI: 10.3923/jas.2010.2241.2250