Domain Adaptation Support Tensor Machine: An Extended STM for Object Recognition Using Cross-Source Heterogeneous Remote Sensing Data

Multisource remote sensing data observed from sensors with different resolutions and physical properties will present heterogeneous tensor structures and diverse feature distributions, thus posing a significant challenge for building an effective classifier for cross-source object recognition. The r...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023, Vol.61, p.1-21
Hauptverfasser:	Gao, Tong, Gu, Lingjia, Chen, Hao, Zhou, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Adaptation models Adaptive sampling Algorithms Classification Classifiers Cross-source object recognition decomposition algorithm Deep learning domain adaptation support tensor machine (DA-STM) domain adaption Hyperplanes Object recognition online DA-STM (ODA-STM) Pattern recognition Physical properties Remote sensing Remote sensors Support vector machines Synthetic aperture radar Tensors Training
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