Title | ||
---|---|---|
Simulation of Image Performance Characteristics of the Landsat Data Continuity Mission (LDCM) Thermal Infrared Sensor (TIRS) |
Abstract | ||
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The next Landsat satellite, which is scheduled for launch in early 2013, will carry two instruments: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). Significant design changes over previous Landsat instruments have been made to these sensors to potentially enhance the quality of Landsat image data. TIRS, which is the focus of this study, is a dual-band instrument that uses a push-broom style architecture to collect data. To help understand the impact of design trades during instrument build, an effort was initiated to model TIRS imagery. The Digital Imaging and Remote Sensing Image Generation (DIRSIG) tool was used to produce synthetic "on-orbit" TIRS data with detailed radiometric, geometric, and digital image characteristics. This work presents several studies that used DIRSIG simulated TIRS data to test the impact of engineering performance data on image quality in an effort to determine if the image data meet specifications or, in the event that they do not, to determine if the resulting image data are still acceptable. |
Year | DOI | Venue |
---|---|---|
2012 | 10.3390/rs4082477 | REMOTE SENSING |
Keywords | Field | DocType |
Landsat,TIRS,thermal,DIRSIG,simulated imagery,image quality | Computer vision,Thermal infrared,Satellite,Remote sensing,Image quality,Image processing,Data continuity,Digital image,Artificial intelligence,Digital imaging,Geology,Image resolution | Journal |
Volume | Issue | ISSN |
4 | 8 | 2072-4292 |
Citations | PageRank | References |
8 | 1.23 | 3 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
John R. Schott | 1 | 73 | 19.89 |
Aaron Gerace | 2 | 39 | 10.43 |
Scott Brown | 3 | 12 | 3.25 |
Michael Gartley | 4 | 15 | 3.17 |
Matt Montanaro | 5 | 73 | 24.50 |
Reuter, D. | 6 | 69 | 25.68 |