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33篇 您的检索式：作者名="CLINTON N"

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	题名	作者	年代	出处	被引量
1	Vertical leaf area distri-bution,light transmittance,and application of the Beer Lambert law in fourmature hardwood stands in the southern Appalachian显示文摘	VOES J M ULLIVAN N H CLINTON B D	1995	Canadian Jour-nal of Forest Resource1995，25，：	1
2	Object-based De- tailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery 显示文摘	Yu Q Gong P Clinton N	2006	Photogrammetric Engineering and Remote Sens- ing2006，72，7：	1
3	Chemical stability of encapsulated aspartame in cakes without added suger显示文摘	Clinton R Wetzel Leonard N Bell	1998	Food Chemistry1998，63，1：	1
4	Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery显示文摘	YU Q GONG P CLINTON N	2006	Photogrammetric Engineering and Remote Sensing2006，72，7：	1
5	Vertical leaf area distribution,light transmittance,and application of the Beer-Lambert law in four mature hardwood stands in the southern Appalachian显示文摘	VOES J M ULLIVAN N H CLINTON B D	1995	Canadian Journal of Forest Resource1995，25，：	1
6	Landscape analysis of wetland plant functional types:The effects of image segmentation scale,vegetation classes and classification methods显示文摘	Dronova I Gong P Clinton N E	2012	Remote Sensing of Environment2012，127，：	1
7	Object - based detailed vegetation classification with airborne high spatial resolution remote sensing image- ry显示文摘	Yu Q Gong P Clinton N Biging G Kelly M Schiro- kauer D	2006	Photogrammetric engineering and remote sensing2006，72，7：	1
8	Landscape analy- sis of wetland plant functional types: the effects of image segmentation scale, vegetation classes and classification methods显示文摘	Dronova I Gong P Clinton N E	2012	Remote Sensing of Environment2012，127，：	1
9	Accuracy Assessment Measures for Object-based Image Segmentation Goodness显示文摘	Clinton N Holt A Scarhorough ]	2010	Photogrammetric Engineering and Remote Sensing2010，76，3：	1
10	Accuracy assess- ment measures for object-based image segmentation goodness显示文摘	Clinton N Holt A Scarborough J	2010	Photogrammetric Engineering & Remote Sensing2010，76，3：	1
11	Accuracy Assessment Measures for Object-based Image Segmentation Goodness显示文摘	Clinton N Holt A Scarborough J	2010	Photogrammetric Engineering and Remote Sensing2010，76，3：	1
12	Accuracy assessmentmeasures for object-based image segmentation goodness显示文摘	CLINTON N HOLT A SCARBOROUGH J	2010	Photogrammetric Engineering and Remote Sensing2010，76，3：	1
13	An artificial neural network model for estimating crop yields using remotely sensed information显示文摘	Jiang D Yang X Clinton N	2004	International Journal of Remote Sensing2004，25，9：	1
14	Landscapeanalysis of wetland plant functional types:the effects of imagesegmentation scale,vegetation classes and classification methods显示文摘	DRONOVA I GONG P CLINTON N E	2012	Remote Sensing of Environment2012，127，：	1
15	Object - based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery 显示文摘	Yu Q Gong P Clinton N	2006	Photagrammetrie Engineering & Remote Sensing2006，72，7：	1
16	Object -based Detailed Vegetation Mapping Using High Spatial Resolution Imagery显示文摘	Yu Q Gong P Clinton N		Photogrammetric Engineering and Remote Sensing0，，：	1
17	Accuracy Assessment Measure for object -based Image Segmentation Goodenss显示文摘	Clinton N Nolt A	2010	Photagrammetric Engineering & Re- mote Sensing2010，3，76：	1
18	Accuracy assessment measures for object-based image segmentation goodness显示文摘	CLINTON N HOLT A SCARBOROUGH J	2010	Photogrammetric Engineering and Remote Sensing2010，76，3：	1
19	Object Based Detailed Be gatation Classification with Airborne High Spatial Resolu- tion Remote Sensing Imagery 显示文摘	Yu Q Gong P Clinton N	2006	Photogrammetric Engi- neering and Remote Sensing2006，72，7：	1
20	Accuracy Assessment Measures for Object-based Image Segmentation Goodness显示文摘	Clinton N Holt A Scarborough J		0，，03：	1

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