SPIE - Education Introduction to Optical Remote Sensing Systems SC567

Description
This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications.
Description
This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications.

Suppliers

Company
Product
Description
Supplier Links
Introduction to Optical Remote Sensing Systems - SC567 - SPIE - Education
Bellingham, WA, USA
Introduction to Optical Remote Sensing Systems
SC567
Introduction to Optical Remote Sensing Systems SC567
This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications.

This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications. This course provides a broad introduction to optical remote sensing systems, including both passive sensors (e.g., radiometers and spectral imagers) and active sensors (e.g., laser radars or LIDARs). A brief review of basic principles of radiometry and atmospheric propagation (absorption, emission, and scattering) is followed by a system-level discussion of a variety of ground-, air-, and space-based remote sensing systems. Key equations are presented for predicting the optical resolution and signal-to-noise performance of passive and active sensing systems. Sensor system examples discussed in the class include solar radiometers, passive spectrometers and hyperspectral imagers, airborne imaging spectrometers, thermal infrared imagers, polarization imagers, and active laser radars (LIDARs and LADARs). The course material is directly relevant to sensing in environmental, civilian, military, astronomical, and solar energy applications.

Supplier's Site

Technical Specifications

  SPIE - Education
Product Category Technical Courses and Programs
Product Number SC567
Product Name Introduction to Optical Remote Sensing Systems
Type Continuing Education Credit (CEU)?; Course
Unlock Full Specs
to access all available technical data

Similar Products

Linemaster On – Site Technical Training -  - Linemaster Switch Corporation
Specs
Type Product Training; Course
Delivery OnSite
Industry Electronics
View Details
Creaform ACADEMIA -  - FARO CREAFORM
Specs
Type Continuing Education Credit (CEU)?; Credit
Delivery OnCampus
Technology / Subject Expertise Testing / Test Methods; Failure Analysis / Forensics; Inspection; Nondestructive Testing (Thermography, Radiography, etc.)
View Details
NDT Training Courses -  - American Society for Nondestructive Testing (ASNT)
American Society for Nondestructive Testing (ASNT)
Specs
Type Certification Exam / Qualification Testing; Training Materials Included (Books, CDs, Courseware); Certificate; Course
Delivery Online; Instructor
Industry Aerospace / Avionics; Automotive / Vehicular; Building Materials; NuclearUtility; Marine; Materials / Chemicals
View Details
Membrane Technology For Water Treatment Applications Training -  - 3M Separation and Purification Sciences Division
3M Separation and Purification Sciences Division
Specs
Type Operator / Laboratory (Hands-on)
Delivery OnCampus; Instructor
Industry Materials / Chemicals
View Details