The improvements in SAR systems lead to obtain higher resolution images and consequently to increase the need for semantic classification of these images.

Request PDF | On May 1, 2018, Ilter Turkmenli and others published Comparison of semantic classification algorithms on SAR images | Find, read and cite all ...

Comparison of Semantic Classification Algorithms on SAR Images. İlter ... proposed for semantic classification of SAR images. Real SAR images are ...

Article "Comparison of semantic classification algorithms on SAR images" Detailed information of the J-GLOBAL is an information service managed by the Japan ...

In this paper, we propose a method to extract, compare and analyze HRSP/MRSP-SAR image domain features and MRPL-SAR physics domain polarimetric features. By ...

Oct 22, 2024 · In the former case, the best overall average accuracy (83.1%) is achieved by random forest classification. Finally, the classification maps on ...

In this paper, variety of classifiers for supervised target classification of polarimetric synthetic aperture radar (SAR) image explained. Compared to ...

In this study, we propose a method for fusing SAR and optical imagery for pixel-wise classification, where optical imagery can offer rich spectral and texture ...

The results of this fusion based RF classifier outperform the individual classification algorithms and the overall accuracy obtained is 88%. Another comparative ...