Image Processing and Data Analysis with ERDAS IMAGINE

Globally, a wide variety of organizations rely on ERDAS IMAGINE (R) daily, including local, state and national mapping agencies, transportation departments, defense organizations, engineering and utility companies and many more. ERDAS IMAGINE (R) is a powerful software package used to collect, process, analyze and understand raw geospatial data, it has become the industry standard in digital image processing. This book provides the first comprehensive guide to develop a proficiency in digital image processing of remotely sensed data from a research/real-world application perspective, along with robust hands-on, start-to-finish examples that represent the most commonly/traditionally used methods.

Author Biography: Dr. Stacy A. C. Nelson is an associate professor in the College of Natural Resources' Center for Geospatial Analytics, the Department of Forestry and Environmental Resources, and the Fisheries, Wildlife, and Conservation Science Program at North Carolina State University, since 2002. Dr. Nelson's research interests focus on the use of geospatial technologies to address both regional and localscale questions of land use and land cover change and the impact this change has on aquatic ecosystems. Dr. Nelson earned a B.S. in biology from Jackson State University (1990). He completed a master's degree from the College of William and Mary's school of marine science-the Virginia Institute of Marine Science (1995). His Ph.D. was completed in Limnology from Michigan State University's Department of Fisheries and Wildlife (2002), where Dr. Nelson attended graduate school as a NASA graduate research fellow. During 2010, Dr. Nelson served a year-long Federal Intergovernmental Personnel Act appointment within the National Headquarters of the USDA Forest Service's Office of Civil Rights in Washington D.C. In D.C., Dr. Nelson worked with the Forest Service and multiple agencies to expand working partnerships between majority-serving and minority-serving Land-Grant Universities in an effort to increase shared research capacities, curricula, and diversity among institutions. Dr. Khorram is a Professor of Remote Sensing and Image processing. He holds a joint faculty appointment at UC Berkeley and North Carolina State University. He received a MS. in Engineering and another MS in Ecology from the University of California (UC) at Davis and his Ph.D. under a joint program from UC Berkeley and Davis. From 1976 to 1980, he served as the Principal Scientist at the Space Sciences Laboratory at UC Berkeley. He then joined the faculty in North Carolina State University (NCSU) in Forestry and Environmental Resources and in Electrical and Computer Engineering departments. He has served as the Principal Investigator for well over 60 major research projects. His research projects have focused on remote sensing, image processing, and geospatial information technology. He has developed a number of image classification and multiresolution data fusion systems as applied to land use and land cover classifications and geospatial modeling. The primary areas of interest and expertise in his research is in natural resources (including water quality) mapping, monitoring, and change detection based on conventional remote sensing techniques as well as automated procedures for image registration, classification, and change detection.

1. Acquiring Data: EarthExplorer, GloVis, LandsatLook Viewer, and NRCS Geospatial Data Gateway 2. Introduction to Image Data Processing 3. Georectification 4. Orthorectification 5. Positional Accuracy Assessment 6. Radiometric Image Enhancement 7. Spatial Image Enhancement 8. Image Digitizing and Interpretation 9. Unsupervised Classification 10. Supervised Classification 11. Object Based Image Analysis 12. Additional Image Analysis Techniques 13. Assessing Thematic Classification Accuracy 14. Basics of Digital Stereoscopy Appendix: Answer to Chapter Review Questions References Index