Remote Sensing Tutorial
Foreword & Overview of Remote Sensing
Introduction: Theoretical, and Technical Perspectives of Remote Sensing; Special Applications
Chapter01: Image Processing and Interpretation - Morro Bay, California
Chapter02: Geologic Applications I - Stratigraphy & Structure
Chapter03: Vegetation Applications - Agriculture, Forestry, and Ecology
Chapter04: Urban and Land Use Applications - From Los Angeles to Beijing
Chapter05: Geologic Applications II - Mineral & Petroleum Exploration
Chapter06: Space Flight Across the U.S - Boston to Denver to San Francisco; Landsat Tours the World
Chapter07: Regional Studies - Use of Mosaics from Landsat
Chapter08: Radar and Microwave Remote Sensing
Chapter09: The Warm Earth - Thermal Remote Sensing
Chapter10: Aerial Photography as Primary & Ancillary Data Sources
Chapter11: The Earth’s Surface in 3D - Stereo Systems and Topographic Mapping
Chapter12: The Human Remote Senser in Space - Astronaut Photography
Chapter13: Collecting Data at the Surface - Ground Truth; The “Multi” Concept; Hyperspectral Imaging Spectroscopy
Chapter14: The Water Planet - Meteorological, Oceanographic and Hydrologic Applications of Remote Sensing
Chapter15: Geographic Information Systems - The GIS Approach to Decision Making
Chapter16: Earth Systems Science - Earth Science Enterprise and the EOS Program
Chapter17: Use of Remote Sensing in Basic Science Studies I - Mega-Geomorphology
Chapter18: Basic Science II: Impact Cratering
Chapter19: Planetary Remote Sensing - The Exploration of Extraterrestrial Bodies
Chapter20: Astronomy and Cosmology: The Description, Origin, and Development of the Universe
chapter21: Remote Sensing into the 21st Century
Appendix A: Modern History of Space
Appendix B: Interactive Image Processing
Appendix C: Principal Components Analysis
PRINCIPAL COMPONENTS ANALYSIS: A BACKGROUND
Linear Combination
Singular Matrices
Space Dimensions
Standardizing Sets
Appendix D: Glossary
Remote Sensing Tutorial
Docs
»
Appendix C: Principal Components Analysis
Appendix C: Principal Components Analysis
¶
Guest Writer: Dr. Jon W Robinson
PRINCIPAL COMPONENTS ANALYSIS: A BACKGROUND
Introduction
Linear Combination
Singular Matrices
Space Dimensions
Standardizing Sets