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怎么区分检索号是SCI的还是ISTP的？
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在ISIKNOWLEDGE上查的一条记录，里面也有UT ISI:000252460300025 标记 但这是发表在会议上的，难道会议也被SCI检索？ FN ISI Export Format VR 1.0 PT C AU Xu, YJ Hu, GD Chen, ZJ AF Xu, Yuanjin Hu, Guangdao Chen, Zhijun ED Lei, J; Yu, J; Zhou, SG TI Application of spectral exhaustive method for object identification and mapping using EO-1 hyperion data SO FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS LA English DT Proceedings Paper CT 4th International Conference on Fuzzy Systems and Knowledge Discovery CY AUG 24-27, 2007 CL Haikou, PEOPLES R CHINA SP Hainan Univ, IEEE Reliabil Soc, Asia Pacific Neural Network Assembly DE hyperspectral image; the spectral exhaustive method (SEM); object identification ID HYPERSPECTRAL DATA; MINERALS AB Due to the uncertainty of thresholds, different results are often obtained in object identification and classification of the same hyperspectral image. This paper presents a new approach to object identification based on the spectral exhaustive method (SEM). Each pixel spectrum in hyperspectral imagery has an optimal matching spectrum (OMS) among all possible spectra that are correlated with the study area by an algorithm for computing the maximal angle cosine or correlation coefficient. Hyperspectral image is mapped using OMS with different colors so that all pixels can be identified. Thus, the image becomes a color map in which those pixels corresponding to the same OMS have the same color. A gray map is created by calculating the correlation coefficient between each pixel spectrum and its OMS to determine the degree of match. This approach requires all possible reference spectra, mostly from the spectral library (built by us), and various pretreatments of the hyperspectral data. This approach was applied to an EO-1 Hyperion hyperspectral image of the Pulang area, Zhongdian county, Yunnan province, China, to obtain identification maps of the study area. Examination of the outlined objects in the map indicated that the SEM-based approach is effective. C1 [Xu, Yuanjin; Hu, Guangdao; Chen, Zhijun] China Univ Geosci, Inst Math Geol & Remote Sensing Geol, Wuhan 430074, Peoples R China. RP Xu, YJ, China Univ Geosci, Inst Math Geol & Remote Sensing Geol, Wuhan 430074, Peoples R China. NR 8 TC 0 PU IEEE COMPUTER SOC PI LOS ALAMITOS PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA PY 2007 BP 124 EP 128 PG 5 SC Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Engineering, Electrical & Electronic GA BHE43 UT ISI:000252460300025 ER -------------------------------------------------------------------------------- EF [ Last edited by ggbond on 2009-3-15 at 14:31 ] |
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