Object based classification of high resolution remote sensing image using HRSVM-CNN classifier

Object based classification of high resolution remote sensing image using HRSVM-CNN classifier

Remote Sensing (RS) implies the science of recognition of earth surface features utilizing electromagnetic radiation. A lot of images encompass a higher spatial and also radiometric resolution. To obtain the required information from the various satellite images, efficient classification and also im...

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Bibliographic Details
Main Authors: Poomani Alias Punitha M., J. Sutha
Format: Article
Language:English
Published: Taylor & Francis Group 2020-06-01
Series:European Journal of Remote Sensing
Subjects:
hybrid regression support vector machineconvolutional neural network (hrsvm_cnn)
hybrid contrast limited adaptive histogram equalizationdiscrete cosine transform (hclahedct)
modified region based image segmentation (mrbi)
fuzzy cmeans (fcm)
gray level cooccurrence matrices (glcm)
Online Access:http://dx.doi.org/10.1080/22797254.2019.1680259

Internet

http://dx.doi.org/10.1080/22797254.2019.1680259

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