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32篇 您的检索式：作者名="TuIA D"

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	题名	作者	年代	出处	被引量
1	Semi-supervised remote sensing image classification with cluster kernels 显示文摘	TUIA D CAMPS-VALLS G	2009	IEEE Geoscience and Remote Sensing Letter2009，6，2：	1
2	Classification of very high spatial resolution imagery using mathematical morphology and support vector machines显示文摘	TUIA D PACIFICI F KANEVSKI M etal	2009	IEEE Transactions on Geoseience and Remote Sensing2009，47，11：	1
3	Active learning methods for remote sensing image classification 显示文摘	TuIA D RATLE F PACIFICI F	2009	IEEE Transactions on Geoscience and Remote Sensing2009，47，7：	1
4	Advances in hyperspectral image classification:Earth monitoring with statistical learning methods显示文摘	Camps-Valls G Tuia D Bruzzone L	2014	Signal Processing Magazine IEEE2014，31，1：	1
5	Active learning methods for remote sensing image classification 显示文摘	Tuia D Ratle F Paeifiei F	2009	IEEE Transactions on Geoscience and Remote Sensing2009，47，7：	1
6	Active learning methods for remote sensing image classification显示文摘	TUIA D RATLE F PACIFICI F	2009	IEEE Transactions on Geoscience and Remote Sensing2009，47，7：	1
7	Semi-supervised remote sensing image classification with cluster kernels 显示文摘	TUIA D CAMPS-VALLS G	2009	IEEE Geoscience and Remote Sensing Letters2009，6，2：	1
8	SVM active learning approach for image classification using spatial information显示文摘	Pasolli E Melgani F Tuia D	2014	IEEE Transactions on Geoscience and Remote Sensing2014，52，4：	1
9	Active learning methods for remote sensing image classification 显示文摘	TUIA D RATLE F PACIFICI F KANEVSKI M EMERY W J	2009	IEEE Transactions on Geoscience and Remote Sensing2009，47，7：	1
10	Sup- port-based implementation of Bayesian data fusion for spatial enhancement: applications to ASTER thermal images 显示文摘	FASBENDER D TUIA D BOGAERT P	2008	IEEE Geoseienee and Remote Sensing Let- ters2008，5，4：	1
11	Advances in hy- perspectral image classificatioN: Earth monitoring with statisti- cal learning methods 显示文摘	Camps-Vails G Tuia D Bruzzone L	2014	Signal Processing Magazine IEEE2014，31，1：	1
12	Classification of Very High ASpatialResolution Imagery Using Mathematical Morphol- ogy and Support Vector Machines显示文摘	Tuia D Pacifici F Kanevski M	2009	Geoscience and Remote Sensing IEEE Transactions on2009，47，11：	1
13	Semisupervised Remote Sensing Image Classification with Cluster Kernels显示文摘	TUIA D CAMPS-VALLS G	2009	IEEE Transactions on Geoscience and Remote Sensing Letters2009，6，2：	1
14	Semi - supervised remote sensing image clas- sification with cluster kernels 显示文摘	Tuia D Camps V G	2009	IEEE Geoscience and Remote Sensing Letters2009，6，2：	1
15	Using active learning to adapt remote sensing image classifiers显示文摘	Tuia D Pasolli E Emery W J	2011	Remote Sens- ing of Environment2011，115，9：	1
16	Using active learning to adapt re- mote sensing image classifiers 显示文摘	Tuia D Pasolli E Emery W J	2011	Remote Sensing of Environ- ment2011，115，9：	1
17	Active learning meth- ods for remote sensing image classification显示文摘	Tuia D Ratle F Pacifici F	2009	IEEE Trans on Geosci Remote Sens2009，47，7：	1
18	A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification显示文摘	TUIA D VOLPI M COPA L	2011	IEEE Journal of Selected Topics in Signal Processing2011，5，3：	1
19	Active Learning: Any Value for Classification of Remotely Sensed Data?显示文摘	CRAWFORD M M TUIA D YANG H L	2013	Proceedings of the IEEE2013，101，3：	1
20	Advances in hy- perspectral image classification: Earth monitoring with statisti- cal learning methods 显示文摘	Camps-Vails G Tuia D Bruzzone L	2014	IEEE Signal Processing Magazine2014，31，1：	1

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