Titlebook: Synthetic Aperture Radar (SAR) Data Applications; Maciej Rysz,Arsenios Tsokas,Panos M. Pardalos Book 2022 The Editor(s) (if applicable) an

Buttress

Machine Learning Methods for SAR Interference Mitigation, a great hindrance to raw data collection, image formation, and subsequent interpretation process. This chapter provides a comprehensive study of the interference mitigation techniques applicable for an SAR system. Typical signal models for various interference types are provided, together with many

byline

Classification of SAR Images Using Compact Convolutional Neural Networks,posed for Land use/land cover (LU/LC) classification using SAR data can be grouped into two categories: traditional Machine Learning (ML) approaches and approaches that are based on deep Convolutional Neural Networks (CNNs). Traditional ML approaches are generally based on discovering powerful featu

BANAL

Multi-Frequency Polarimetric SAR Data Analysis for Crop Type Classification Using Random Forest,n for crop separation and classification. The RF classifier has an inherent parameter ranking and partial probability plot ability which gives not only the important parameters but also their optimal dynamic range. Crop separation was assessed among crop types by identifying polarimetric parameters

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CHARM

Nucleate

缺陷

Matthew P. Masarik,Chris Kreucher,Kirk Weeks,Kyle Simpsonoriginally conceived as a contribution to yet another ‘tum‘, not cap­ tured by one of the many adjectives that have served to describe the collective meander­ ing of the scholarly community in search of direction, It was meant to mark the millen­ nial turn, a seemingly purely chronological event, bu

向前变椭圆

Luca Bergamasco,Francesca Bovoloat STS as a field is still too young for a comparison of its initial goals and visions with its actual achievements, such an argument ignores the pressure on any new field to build up an intellectual, disciplinary and institutional identity.. There are various ways of constructing such an identity:

KEGEL

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