LiDAR technologies and systems / Paul McManamon.

Format:

Book

Author/Creator:

McManamon, Paul F., 1946- author.

Contributor:

Society of Photo-Optical Instrumentation Engineers, publisher.

Series:

SPIE monograph ; PM300.

SPIE digital library

SPIE Press monograph ; PM300

Language:

English

Subjects (All):

Optical radar.

Genre:

Electronic books.

Physical Description:

1 online resource (520 pages).

Place of Publication:

Bellingham, Washington : SPIE, 2019.

System Details:

Mode of access: World Wide Web.

text file

Summary:

LiDAR is one of many active sensor technologies that uses electromagnetic radiation. Operating in the optical and infrared wavelengths, it is similar to more-familiar passive EO/IR sensor technology. It is also similar to radar in that it uses reflected electromagnetic radiation emitted by the sensor. LiDAR is commonly used for making high-resolution maps and has applications in geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, laser guidance, airborne laser swath mapping, and laser altimetry. It is also being used for control and navigation of some autonomous cars.

Contents:

Preface

1. Introduction to LiDAR: 1.1. Context of LiDAR; 1.2. Conceptual discussion of LiDAR; 1.3. Terms for active EO sensing; 1.4. Types of LiDARs; 1.5. LiDAR detection modes; 1.6. Flash LiDAR versus scanning LiDAR; 1.7. Eye safety considerations; 1.8. Laser safety categories; 1.9. Monostatic versus bistatic LiDAR; 1.10. Transmit/receive isolation; 1.11. Major devices in a LiDAR; 1.12. Organization of the book; Problems and solutions; References

2. History of LiDAR: 2.1. Rangefinders, altimeters, and designators; 2.2. Early coherent LiDARs; 2.3. Early space-based LiDAR; 2.4. Flight-based Laser Vibrometers; 2.5. Environmental LiDARs; 2.6. Imaging LiDARs; 2.7. History conclusion; References

3. LiDAR range equation: 3.1. Introduction to the LiDAR range equation; 3.2. Illuminator beam; 3.3. LiDAR cross-section; 3.4. Link budget range equation; 3.5. Atmospheric effects; Problems and solutions; Notes and references

4. Types of LiDAR: 4.1. Direct-detection LiDAR; 4.2. Coherent LiDAR; 4.3. Multiple-input, multiple-output active EO sensing; Appendix 4.1. MATLAB(R) program showing synthetic-aperture pupil planes and MTFs; Problems and solutions; References

5. LiDAR sources and modulations: 5.1. Laser background discussion; 5.2. Laser waveforms for LiDAR; 5.3. Lasers used in LiDAR; 5.4. Bulk solid state lasers for LiDAR; 5.5. Fiber format; Problems and solutions; References

6. LiDAR receivers: 6.1. Introduction to LiDAR receivers; 6.2. LiDAR signal-to-noise ratio; 6.3. Avalanche photodiodes and direct detection; 6.4. Silicon detectors; 6.5. Heterodyne detection; 6.6. Long / frame-time framing detectors for LiDAR; 6.7. Ghost LiDARs; 6.8. LiDAR image stabilization; 6.9. Optical / time-of-flight flash LiDAR; Problems and solutions; Notes and references

7. LiDAR beam steering and optics: 7.1. Mechanical beam-steering approaches for LiDAR; 7.2. Nonmechanical beam-steering approaches for steering LiDAR optical beams; 7.3. Some optical design considerations for LiDAR; Problems and solutions; Notes and references

8. LiDAR processing: 8.1. Introduction; 8.2. Generating LiDAR images/information; Problems and solutions; References

9. Figures of merit, testing, and calibration for LiDAR: 9.1. Introduction; 9.2. LiDAR characterization and figures of merit; 9.3. LiDAR testing; 9.4. LiDAR calibration; Problems and solutions; References

10. LiDAR performance metrics: 10.1. Image quality metrics; 10.2. LiDAR parameters; 10.3. Image parameters: National Imagery Interpretability Rating Scale (NIIRS); 10.4. 3D metrics for LiDAR images; 10.5. General image quality equations; 10.6. Quality metrics associated with automatic target detection, recognition, or identification; 10.7. Information theory related to image quality metrics; 10.8. Image quality metrics based on alternative basis sets; 10.9. Eigenmodes; 10.10. Compressive sensing; 10.11. Machine learning; 10.12. Processing to obtain imagery; 10.13. Range resolution in EO/IR imagers; 10.14. Current LiDAR metric standards; 10.15. Conclusion; Appendix 10-1. MATLAB code to Fourier transform an image; Problems and solutions; References

11. Significant applications of LiDAR: 11.1. Auto LiDAR; 11.2. 3D mapping LiDAR; 11.3. Laser vibrometers; 11.4. Wind sensing; Problems and solutions; References

Index.

Notes:

"SPIE Digital Library."--Website.

Includes bibliographical references and index.

Title from PDF title page (SPIE eBooks Website, viewed 2019-05-22).

Other Format:

Print version

ISBN:

9781510625402

OCLC:

1102344162

Access Restriction:

Restricted for use by site license.