Digital Image Processing for Undergraduate Studies in Geological Sciences

该奖项授予康奈尔大学地质科学系是对提交给国家科学基金会仪器和实验室改进计划的提案的回应。该合同将提供购买数字图像处理系统所需资金的一半。该大学致力于匹配国家科学基金会对该设备的贡献。该设备将用于大学从入门到高级研究项目的本科地球科学课程，以便学生可以访问大学大量的数字数据研究图书馆资源。用于分析和研究的图像将从诸如Landsat专题绘图仪、SIR-B航天飞机成像雷达、SPOT卫星图像、COCORP美国大陆地壳反射剖面以及各种其他重力、地形和地震活动数字化数据集等来源中提取。图书馆提供了丰富的地形图像和地球内部地球物理信息来源，用于在入门课程中说明结构，并为更高级的课程提供基于实际例子的问题解决练习。

This award to Cornell University's Department of Geological Sciences is made in response to a proposal submitted to the National Science Foundation's Instrumentation and Laboratory Improvement Program. The award will provide one-half of the funds needed to acquire a digital image processing system. The University is committed to matching the NSF contribution for this equipment. The equipment will be used in the University's undergraduate geoscience courses from the introductory to the senior research projects level in order to make possible student access to the University's considerable research library resources of digital data. Images for analysis and study will be drawn from sources such as the Landsat Thematic Mapper, SIR-B Shuttle imaging radar, SPOT satellite imagery, COCORP reflection profiles of the U.S. continental crust, and various other gravity, topography and seismicity digitized data sets. The library provides a rich source of images of landforms and earth-interior geophysical information for illustrating structures in introductory courses and for problem solving exercises based on real examples for more advanced courses.