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EV477 COURSE DETAILS


2 Version(s) of this Course

EV477 (Version: 2019 2) COURSE DETAILS


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
EV477 ADVANCED REMOTE SENSING 2019 2 Geography and Environmental Engineering 3.0 (BS=0.0, ET=3.0, MA=0.0)
SCOPE
This course examines advanced remote sensing theory and digital image processing techniques suitable for the processing of remotely sensed data. Emphasis is on the processing and analysis of state-of-the-art high spatial and spectral resolution data gathered by airborne and satellite sensors. Topics covered include geometric and radiometric image rectification, registration and resampling techniques, image enhancements, data merging, image segmentation, and automated feature extraction. A wide range of practical exercises and in-class laboratory assignments provides hands-on experience with a variety of remotely sensed imagery ranging from multi-spectral to hyper-spectral data. The course culminates with a capstone term project that allows cadets to apply digital image processing skills to a scientific problem.
LESSONS: 30 @ 75 min (2.000 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
In-class labs; term project. Compensatory time provided.

EV477 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  EV203 2001 1 1 Y
  EV377 1980 1 1 Y
  EV203X 2013 2 2 Y
  EV377 2011 1 2 Y

EV477 (Version 2019-2) COURSE OFFERINGS


AYT #SECT/SIZE CPBLTY ENRLD WAIT SEATS CLOSED CRSE DIRECTOR DETAILS
2023 - 2 3 19 57 55 0 2 Y MAJ LAUGHLIN Hours

2024 - 2 3 18 54 39 0 15 N CPT KELLY Hours

2025 - 2 3 18 54 17 0 37 N Hours

2026 - 2 3 18 54 0 0 54 N MAJ LAUGHLIN Hours


EV477 (Version: 2002 1) COURSE DETAILS (ARCHIVED)


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
EV477 ADVANCED REMOTE SENSING 2002 1 Geography and Environmental Engineering 3.0 (BS=0.0, ET=3.0, MA=0.0)
SCOPE
This course examines advanced remote sensing theory and digital image processing techniques suitable for the processing of remotely sensed data. Emphasis is on the processing and analysis of state-of-the-art high spatial and spectral resolution data gathered by airborne and satellite sensors. Topics covered include geometric and radiometric image rectification, registration and resampling techniques, image enhancements, data merging, image segmentation, and automated feature extraction. A wide range of practical exercises and in-class laboratory assignments provides hands-on experience with a variety of remotely sensed imagery ranging from multi-spectral to hyper-spectral data. The course culminates with a capstone term project that allows cadets to apply digital image processing skills to a scientific problem.
LESSONS: 40 @ 55 min (2.500 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
In-class labs; term project. Compensatory time provided.

EV477 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  EV203 2001 1 1 Y
  EV377 1980 1 1 Y
  EV203X 2013 2 2 Y
  EV377 2011 1 2 Y