[HTML][HTML] Application of clustering algorithm in complex landscape farmland synthetic aperture radar image segmentation
Z Chen, B Cong, Z Hua, K Cengiz…�- Journal of Intelligent�…, 2021 - degruyter.com
In synthetic aperture radar (SAR) image segmentation field, regional algorithms have shown
great potential for image segmentation. The SAR images have a multiplicity of complex
texture, which are difficult to be divided as a whole. Existing algorithm may cause mixed
super-pixels with different labels due to speckle noise. This study presents the technique
based on organization evolution (OEA) algorithm to improve ISODATA in pixels. This
approach effectively filters out the useless local information and successfully introduces the�…
great potential for image segmentation. The SAR images have a multiplicity of complex
texture, which are difficult to be divided as a whole. Existing algorithm may cause mixed
super-pixels with different labels due to speckle noise. This study presents the technique
based on organization evolution (OEA) algorithm to improve ISODATA in pixels. This
approach effectively filters out the useless local information and successfully introduces the�…
Application of clustering algorithm in complex landscape farmland synthetic aperture radar image segmentation
In synthetic aperture radar image segmentation field, regional algorithms have shown great
potential for image segmentation. The SAR images have a multiplicity of complex texture,
which are difficult to be divided as a whole. Existing algorithm may cause mixed super-pixels
with different labels due to speckle noise. This study presents the technique based on
organization evolution algorithm to improve ISODATA in pixels. This approach effectively
filters out the useless local information and successfully introduces the effective information�…
potential for image segmentation. The SAR images have a multiplicity of complex texture,
which are difficult to be divided as a whole. Existing algorithm may cause mixed super-pixels
with different labels due to speckle noise. This study presents the technique based on
organization evolution algorithm to improve ISODATA in pixels. This approach effectively
filters out the useless local information and successfully introduces the effective information�…
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