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Signal Theory Methods in Multispectral Remote Sensing
Abstract
Preface. PART I: INTRODUCTION. Chapter 1. Introduction and Background. PART II: THE BASICS FOR CONVENTIONAL MULTISPECTRAL DATA. Chapter 2. Radiation and Sensor Systems in Remote Sensing. Chapter 3. Pattern Recognition in Remote Sensing. PART III: ADDITIONAL DETAILS. Chapter 4. Training a Classifier. Chapter 5. Hyperspectral Data Characteristics. Chapter 6. Feature Definition. Chapter 7. A Data Analysis Paradigm and Examples. Chapter 8. Use of Spatial Variations. Chapter 9. Noise in Remote Sensing Systems. Chapter 10. Multispectral Image Data Preprocessing. Appendix. An Outline of Probability Theory. Exercises. Index.
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Hyperspectral remote sensing data analysis and future challenges
Bioucas-Dias, J. M., Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., & Chanussot, J. (2013) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2013.2244672 · Cited by 2,223
Ghamisi, P., Yokoya, N., Li, J., Liao, W., Liu, S., Plaza, J., Rasti, B., & Plaza, A. (2017) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2017.2762087 · Cited by 909
He, L., Li, J., Liu, C., & Li, S. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2017.2765364 · Cited by 630
Learning multiscale and deep representations for classifying remotely sensed imagery
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Nature-inspired framework for hyperspectral band selection
Nakamura, R. Y. M., Fonseca, L. M. G., Santos, J. A. D., Torres, R. D. S., Yang, X.-S., & Papa, J. P. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2258351 · Cited by 70
Metadata
- Authors
- Landgrebe, D. A.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2003-01-17
- OpenAlex
- W628438000
- Cited by
- 1,205
- References
- 0
- FWCI
- 54.58
- Type
- book
- Language
- en
- Open access
- closed
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