Sensitivity of iterative spectrally smooth temperature/emissivity separation to algorithmic assumptions and measurement noise

IEEE Transactions on Geoscience and Remote Sensing

Volumn 39, Issue 10, 2001, Pages 2158-2167

  Ingram, P M ^a   Muse, A H ^a  

^a RAYTHEON COMPANY   (United States)

Author keywords

Algorithm; Covariance propagation; Hyperspectral thermal infrared; Monte Carlo simulation; Temperature emissivity separation

Indexed keywords

ACOUSTIC NOISE MEASUREMENT; ALGORITHMS; INFRARED RADIATION; MONTE CARLO METHODS; SENSITIVITY ANALYSIS; THERMOANALYSIS;

COVARIANCE PROPAGATION; TEMPERATURE EMISSIVITY SEPARATION;

REMOTE SENSING;

EID: 0035481777     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.957278     Document Type: Article

References (6)

1. Iterative retrieval of surface emissivity and temperature for a hyperspectral sensor
2. Surface emissivity and temperature retrieval for a hyperspectral sensor
3. LWIR/WIR imaging hyperspectral sensor for airborne and ground-based remote sensing
4. Quantitative comparison of temperature/emissivity algorithm performance using SEBASS data