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Learning task-driven polarimetric target decomposition
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Polarimetric target decomposition aims to decompose a polarimetric synthetic aperture (PolSAR) data on a base reflecting some scattering mechanisms.
Learning task-driven polarimetric target decomposition: A new ...
ResearchGate
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The spirit of sparse learning is that learning a dictionary exploits the fundamental structures from a given dataset and encodes each sample into a robust ...
Learning task-driven polarimetric target decomposition: A new ...
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A novel target decomposition framework is proposed to learn a set of task-desired bases as well as feature vectors from the input polarimetric data to ...
learning task-driven polarimetric target decomposition: a new
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ABSTRACT. Polarimetric target decomposition aims to decompose a po- larimetric synthetic aperture (PolSAR) data on a base reflect-.
IGARSS 2016 | 2016 IEEE International Geoscience and Remote ...
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Paper Title: LEARNING TASK-DRIVEN POLARIMETRIC TARGET DECOMPOSITION: A NEW PERSPECTIVE ; Authors: Zaidao Wen; Xidian University ; Biao Hou; Xidian University.
文载道的个人主页-西北工业大学
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Zaidao Wen, Biao Hou, Shuang Wang, Licheng Jiao, Learning task-driven polarimetric target decomposition: A new perspective, IEEE IGARSS, 2016 (Poster). 1 ...
Zaidao Wen
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Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition ... Learning task-driven polarimetric target decomposition: A new perspective.
A learning-based target decomposition method using Kernel ...
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PDF | In this article, a learning-based target decomposition method based on Kernel K-singular vector decomposition (Kernel KSVD) algorithm is proposed.
PDFL: Polarimetric Decomposition Feature Learning via Deep ...
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Learning task-driven polarimetric target decomposition: A new perspective · CNN-Based Polarimetric Decomposition Feature Selection for PolSAR Image ...
An Adaptive Polarimetric Target Decomposition Algorithm ...
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由 P Huang 著作2024 — This paper proposes an adaptive polarimetric target decomposition algorithm (APD) based on the anisotropy degree (A).