«LAND OF CONFUSION»: QUANTUM PHYSICS IN IR THEORY? by T. A. Alekseeva, A. P. Mineyev, I. D. Loshkariov

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Advancing SAR monitoring of urban impervious surface with a new polarimetric scattering mixture analysis approach by Jing Ling, Shan Wei, Paolo Gamba, Rui Liu, Hongsheng Zhang

“…Compared with traditional methods, PSMA significantly reduces land cover confusion and enhances the producer's (PA) and user's accuracy (UA) for UIS, particularly for “road”, by up to 13.4 % and 9.5 %, respectively. …”
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Improving Urban Land Cover Classification in Cloud-Prone Areas with Polarimetric SAR Images by Jing Ling, Hongsheng Zhang, Yinyi Lin

“…To address the issue, this study proposes a framework, through various sampling strategies and three typical supervised classification methods, to quantify the ULC classification accuracy using optical and SAR data with various cloud levels. The land cover confusions were investigated in detail to understand the role of SAR in distinguishing land cover under different types of cloud coverage. …”
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