Pixel classification of large-size hyperspectral images by affinity propagation
نویسندگان
چکیده
منابع مشابه
Pixel-by-Pixel Classification of MFISH Images
Multiplex Fluorescence In-Situ Hybridization (M-FISH) is a recently developed chromosome imaging method in which each chromosome is labelled with 5 fluors (dyes) and is also counterstained with DAPI. This paper proposes an automatic pixel by pixel classification algorithm for M-FISH images using a Bayes Classifier. The M-FISH pixel classification was approached as a 25 class 6 feature pattern r...
متن کاملFilter Banks for Hyperspectral Pixel Classification of Satellite Images
Satellite hyperspectral imaging deals with heterogenous images containing different texture areas. Filter banks are frequently used to characterize textures in the image performing pixel classification. This filters are designed using different scales and orientations in order to cover all areas in the frequential domain. This work is aimed at studying the influence of the different scales used...
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 کاملHyperspectral Images Classification by Combination of Spatial Features Based on Local Surface Fitting and Spectral Features
Hyperspectral sensors are important tools in monitoring the phenomena of the Earth due to the acquisition of a large number of spectral bands. Hyperspectral image classification is one of the most important fields of hyperspectral data processing, and so far there have been many attempts to increase its accuracy. Spatial features are important due to their ability to increase classification acc...
متن کاملHyperspectral Image Classification by Using Pixel Spatial Correlation
This paper introduces a hyperspectral image classification approach by using pixel spatial relationship. In hyperspectral images, the spatial relationship among pixels has been shown to be important in the exploration of pixel labels. To better employ the spatial information, we propose to estimate the correlation among pixels in a hypergraph structure. In the constructed hypergraph, each pixel...
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: Journal of Applied Remote Sensing
سال: 2014
ISSN: 1931-3195
DOI: 10.1117/1.jrs.8.083567