In this paper we are mainly interested in the classification of images into different clusters, each corresponding to an object material in the imaged scene. For that purpose, the...
Jihad Zallat, Pierre Grabbling, Yoshitate Takakura
Korea Institute of Geoscience and Mineral Resources (KIGAM) and Kangwon National University (KNU) ground-based synthetic aperture radar (GB-SAR) team has been developed a fully po...
Moon-Kyung Kang, Kwang-Eun Kim, Hoonyol Lee, Seong...
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Polarimetric scene phenomenology yields a remote sensing modality that can be used in tandem with or alternative to panchromatic, multispectral, hyperspectral, or infrared intensi...