荆林海

　　简 历:

　　教育经历

　　1/2002-4/2008，地理空间信息与遥感博士, 加拿大约克大学 (York University) 地球、空间科学与工程系;

　　论文:Spectral distortion analysis on 品质场随跟办终聚支调维image fusion methods in remote sensing and devel握诉洋她断科需胶opment on fusion methods。

　　9/1994- 7/1来自997，遥感制图专业硕士，中国科学院遥感应用研究所;

　　9/1990-7/1994，地质勘查360百科学士，地质系，山东矿业学院(现名:山东科技大学).

　　工作经历

　　7/2009-12/2011，博士后，研究领域:森林遥感，加拿大约克大学地球异印木前最短团村蒸雷红、空间科学与工程系Geomatica实验室.

　　5/2008-6/2009，博士后，研究领域:地理空间信息与遥感，加拿大约克大学地球、陈至富课黑比愿乱另苏沉空间科学与工程系Center for Research in Earth and Space Science实验室.

　　7/1997-12/200响啊关广零1，研究实习员、助理研究员，研究领域:遥感地质学，中国科学院遥感们排乐列识几十同明省孩应用研究所.

　　研究方向:

　　遥感数字图象处理(图像融合，树冠提取，图像分割)，遥感地质

　　专家类别:

　　研究员 百人计划

　　担科研项目情况:

　　中国科学院'百人计划'项目:遥感图像处理，项目负责人。

　　中国地质调查院计划项目'覆盖区成矿预测推广示范'下的工作项目:覆盖区遥感技术与图像融合研究及应用，项目负责人。

　　山东省招远南部金矿找矿预测研究'项目的外协项目:招远南部地区遥感信息提取，项目负责人。

　　国家自然科学基金国际合作重大项目:全球环境变化遥感对比研究(ABCC)，参与。

　　国家自然科学基金面上项目:丝绸之路南道甚船重中段线路变迁及其驱动善某静右助抗画听件机制--且末-于阗段遥感考方扩守额企直般资黄构似古研究，参与。

　　"新疆及周边区域遥感动态监测伟慢顾倒末光与应急管理系统"项目:"新疆及中亚矿产资源遥感找矿信息识别与挖掘技术"专题，参与。

　　代表论著:

　　共发表论文38篇，其中SCI论文9篇(第一作者8 篇)，EI论文9篇，中文核心期刊4篇。

　　代表性学术期刊文章

　　[1].Jing, L., Hu, B., Li, J., and Noland, T., 2012, An individual tree cro封茶设wn delineation method based on multi-scale segmentation of imagery. ISPRS Journal of Photogrammetry & Remote Sensing (接受).

　　[2].Jing, L., Cheng, Q., 岁加Guo, H., and Lin, 另练依Q., 2012, Image misalignment caused by decimation in image fusion evaluation. Intern鲁民更汽入烟践战ational Journal of Remote Sensing, 33(16), 4969-4981.

　　[3]. Jing, L., and Cheng, Q刘区降动想端超厂阳美., 2011, An image fusion method based on object-oriented classification. International Journal of Remote Sensing, 33(8), 2434-2450.

　　[4]. Jing, L., and Cheng, Q., 2011, An image fusion 活以method for misaligned Panchromatic and multispectr族板al data. Inte满够打视rnational Journal of Remote Sensing, 32(4), 1125-1137.

　　[5]. Jing, L., and Cheng, Q., 2011, An image fusion method taking into account phenological analogies and haze. International Journal of Remote Sensing, 32(6), 1675-1694.

　　[6]. Jing, L., and Cheng, Q., 2011, Spectral change directions of multispectral sub-pixels in image fusion. International Journal of Remote Sensing, 32 (6), 1695-1711.

　　[7]. Jing, L., and Cheng, Q., 2010, A technique based on non-linear transform and multivariate analysis to merge thermal-IR data and higher-resolution multispectral data. International Journal of Remote Sensing, 31(24), 6459-6471.

　　[8]. Jing, L., and Cheng, Q., 2009, Two improvement schemes of PAN modulation fusion methods for spectral distortion minimization. International Journal of Remote Sensing, 30 (8),2119-2131.

　　[9]. Cheng, Q., and Jing, L., Panahi, A., 2006, Principal component analysis with optimum order sample correlation coefficient for image enhancement. International Journal of Remote Sensing, 27(16), 3387-3401.

　　[10]. 荆林海, 沈远超, 蔺启忠, 曾庆栋, 邹为雷, 2001, 胶莱盆地北缘遥感信息的提取和解译。地质与勘探，37(1)，1-7。

　　代表性学术会议文章

　　[1]. Jing, L., Hu, B., and Ji, J., Automated tree crown delineation from remotely sensed data based on morphological techniques, In the XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), Commission III, WG III/4, 25 August-1 Sept. 2012, Melbourne, Australia.

　　[2].Jing, L., Hu, B., Ji, J., and Noland, T., Delineation of individual tree crowns from small footprint, high point density LIDAR data, in Silvilaser 2010, the

　　10th International Conference on LiDAR Applications for Assessing Forest

　　Ecosystems, 14-17 Sept. 2010, Freiburg, Germany.

　　[3].Li, J., Hu, B., Sohn, G., and Jing, L., Combination of airborne LiDAR and multispectral data for individual tree species identification in nature boreal forests, in Silvilaser 2010, the 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, 14-17 Sept. 2010, Freiburg, Germany.

　　[4].Li, J., Hu, B., Sohn, G., and Jing, L., Individual tree species classification using structure features from high density airborne LiDAR data, in2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), 25-30 July 2010, Honolulu, Hawaii, USA.

　　[5].Zhang, W., Hu, B., Jing, L., Woods, M. E., Individual tree delineation using optical Imagery and LiDAR data. In the 30th Canadian Symposium on Remote Sensing,

　　June 22-25, 2009, Lethbridge Alberta Canada.

　　[6].Jing, L., Cheng, Q., and Wang, W., A method based on shadow-oriented classification of panchromatic pixels. In 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008), 6-11 July 2008, Boston, Massachusetts, U.S.A.

　　[7].Zhang, W., Hu, B., Jing, L., Woods, M. E., and Courville, P., Automatic forest species classification using combined LIDAR data and optical imagery. In 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008), 6-11 July 2008, Boston, Massachusetts, U.S.A.

　　[8].Jing, L., Cheng, Q., A fusion method for mixed pixels based on prior type judgment. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2007), 23-27 July 2007, Barcelona, Spain.

　　[9].Jing, L., and Cheng, Q., Image fusion based on pixel spectra change vector and multivariate regression of panchromatic and visible-near IR multispectral bands. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2006), July 31- August 4, 2006, Denver, Colorado, U.S.A.

　　[10].Jing, L., and Cheng, Q., A technique based on non-linear transform and multivariate analysis to merge thermal-IR data with higher-resolution multispectral data. In 33rd International Geology Congress (IGC'33), 6-14 August 2008, Oslo, Norway.

　　[11].Jing, L., and Cheng, Q., A fusion method based on object-oriented classification of panchromatic image. In European Geosciences Union General Assembly 2008 (EGU 2008), 13-18 April 2008, Vienna, Austria (abstract).

　　[12].Cheng, Q., and Jing, L., Use of scaling models in remote sensing image fusion and image filtering. In European Geosciences Union General Assembly 2007, 15-20 April 2007, Vienna, Austria (abstract).

　　[13].Wang, W., Cheng, Q., and Jing, L., Integration of remote sensing data and geochemical data for mapping mineral potentials in Gejiu mineral district, Yunnan, China. In Proceedings of IAMG'07, Geomathematics and GIS Analysis of Resources, Environment and Hazards (12th conference of International Association for Mathematical Geology), 26-31 August 2007, Beijing, China, pp. 425-428.

　　[14].Jing, L., and Cheng, Q., An improvement scheme on panchromatic modulation fusion methods for spectral distortion minimization. In Proceedings of IAMG'07, Geomathematics and GIS Analysis of Resources, Environment and Hazards (12th conference of International Association for Mathematical Geology), 26-31 August 2007, Beijing, China, pp. 530-534.

　　[15].Jing, L., and Cheng, Q., One modified ratio-based image fusion method for spectral distortion minimization. In 2007 GeoTec Event Conference Proceedings, 14-17 May 2007, Calgary, Alberta, Canada.

　　[16].Jing, L., Cheng, Q., and Yan, G., Fusing multiple panchromatic and multispectral images using multiple regressions. In Proceedings of IAMG'05, the Annual Conference of the International Association for Mathematical Geology, 21-24 August 2005, Toronto, Canada.

　　[17].Jing, L., and Cheng, Q., Merging Landsat TM thermal-IR band with higher-resolution reflective bands. In 2006 GeoTec Event Conference Proceedings, 18-21 May 2006, Ottawa, Ontario, Canada.

　　[18].Jing, L., Cheng, Q., and Chen, M., Merging multispectral and panchromatic images using multiple regressions. In 2005 GeoTec Event Conference Proceedings, 16-19 Feb. 2005, Vancouver, British Columbia, Canada.

　　[19].Jing, L., Cheng, Q., and Chen, M., An enhanced principal component substitution fusion method. In 2005 GeoTec Event Conference Proceedings, 16-19 Feb. 2005, Vancouver, British Columbia, Canada.

　　[20].Jing, L., Cheng, Q., and Yan, G., An extended intensity-hue-saturation (IHS) fusion method. In 2005 GeoTec Event Conference Proceedings, 16-19 Feb. 2005, Vancouver, British Columbia, Canada.

　　[21].Jing, L., Cheng, Q., Yan, G., Chen, M., and Jin, P., Image fusion by simulating ETM+ Pan with bands 2, 3 & 4. In 2004 GeoTec Event Conference Proceedings, 28-31 March 2004, Toronto, Ontario, Canada,

　　[22].Jing, L., Cheng, Q., Yan, G., Chen, M., and Jin, P., Use of multi-phase remote sensing data to extract pollutant sources in the drainage basin of Miyun reservoir, Beijing, China. In 2003 GeoTec Event Conference Proceedings, 13-19 March 2003, Vancouver, British Columbia, Canada.