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杭州师范大学理学院导师教师师资介绍简介-杭州师范大学理学院

本站小编 Free考研考试/2021-04-17

姓名
吴文渊
Wenyuan Wu
性别

Female


联系方式
wwyzju@yahoo.com.cn
职称
讲师
lecturer

研究领域
遥感地质学、热红外遥感、遥感信息提取
Remote Sensing, Thermal Infrared Remote Sensing, and Geology

个人简历

2002.10-2006.07 浙江大学地球科学系 地质学专业 本科
2006.09-2011.06 浙江大学地球科学系 地质学专业 硕士博士
研究方向:遥感地质
2011.07至今 杭州师范大学理学院遥感与地球科学研究院教师
2002.10-2006.07 Department of Earth Sciences, Zhejiang University ,Bachelor of Science (Geology)
2006.09-2011.06 Department of Earth Sciences, Zhejiang University , Ph.D (Geology and Remote Sensing)
2011.07-Now Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University,Faculty

教学情况

遥感与地球科学研究院 研究生学位课程《遥感地学分析》教学
Graduate student courses, “Geography Analysis for Remote Sensing”

科研情况

以遥感地质学、热红外遥感、遥感信息提取为主要研究方向。
发表论文主要有:
在国内外SCI期刊及国内核心期刊发表十余篇文章,其中第一作者的遥感相关文章4篇如下:
1. Thermal infrared remote-sensing detection of thermal anomalies surrounding faults: a case study in Western Sichuan Basin, China. Journal of Asian Earth Sciences, 2012,43(1):110-117. (SCI)
2. Thermal anomalies associated with faults: a case study of the Jinhua-Quzhou Basin of Zhejiang Province, China. International Journal of Remote Sensing,2012,33(6):1850-1867(SCI)
3. 一种定向光照模型遥感影像增强方法及构造解译。遥感学报,2012(3)
4. 基于Landsat ETM+影像的水体信息综合提取方法。科技通报,2008,24(2).
参与中国地调局下属浙江海洋经济发展示范区地质环境调查子项目杭州湾地区地质环境遥感调查、全国矿产资源潜力评价浙江遥感应用等多项遥感相关项目。
Research Interests: Thermal Infrared Remote Sensing, and Geology
More than 10 papers in domestic journals and international SCI journals, the selected papers of first author as below:
1. Thermal infrared remote-sensing detection of thermal anomalies surrounding faults: a case study in Western Sichuan Basin, China. Journal of Asian Earth Sciences, 2012,43(1):110-117. (SCI)
2. Thermal anomalies associated with faults: a case study of the Jinhua-Quzhou Basin of Zhejiang Province, China. International Journal of Remote Sensing,2012,33(6):1850-1867(SCI)
3. Directional illumination enhancing of remote sensing images and the fault interpretation. Journal of Remote Sensing,2012(3)
4. A Integrated Method for Water Body Detection and Delineation Using Landsat ETM+ data. Bulletin of Science and Technology,2008,24(2).






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