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Using spatial correspondences for hyperspectral knowledge ...
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Abstract: We describe a proof of concept for class knowledge transfer from a labeled hyperspectral image to an unlabeled image, captured with a different ...
Using Spatial Correspondences for Hyperspectral Knowledge ...
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由 BD Bue 著作被引用 7 次 — ‣ Exploiting knowledge of class structure in one image can help label new imagery. ‣ Automatically transferring class knowledge between images is nontrivial. ‣ ...
using spatial correspondences for hyperspectral class ...
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由 BD Bue 著作 — ABSTRACT. We describe a proof of concept for class knowledge transfer from a labeled hyperspectral image to an unlabeled image, captured with a.
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Using spatial correspondences for hyperspectral knowledge ...
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We describe a proof of concept for class knowledge transfer from a labeled hyperspectral image to an unlabeled image, captured with a different ...
Using spatial correspondences for hyperspectral knowledge ...
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The transfer learning approach can be used to alleviate the second requirement for a particular dataset: first the network is pre-trained on some dataset with ...
An evaluation of class knowledge transfer from synthetic to ...
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We evaluate our technique between a pair of synthetic hyperspectral images with systematic differences in the spectral signatures of corresponding materials.
基于变化矢量分析与分类后比较的遥感图像变化检测方法
Google Patents
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2010 Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data. Priority And Related Applications. Priority ...
Transferring spectral libraries of canopy reflectance for ...
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由 RR Nidamanuri 著作2011被引用 31 次 — Bue et al. Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data. J.B. Campbell. Introduction to Remote Sensing.
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Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data.WHISPERS 2010: 1-4; 2009. paper. [j6]. Q1. Kadim Tasdemir ...
Upper Left: A color composite made from 3 selected spectral ...
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Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data ... using state of the art synthetic hyperspectral imagery ...