Integrating Information From Thermal And Visual Images For Scene Analysis

A new approach has been developed for computer perception of scenes. The approach is based on the integration of information extracted from thermal images and visual images, which provides new information not available by processing either image alone. The thermal behavior of scene objects has been studied in terms of surface heat fluxes. The thermal image is used to measure surface temperature and the visual image provides surface absorptivity and relative orientation. These parameters used together provide estimates of surface heat fluxes. Features based on these estimates are shown to be more meaningful and specific in distinguishing scene components.

[1]  J. M. Lloyd,et al.  Thermal Imaging Systems , 1975 .

[2]  John A. Pearce,et al.  Nonlinear Processing Of Quantitative Thermographic Images , 1984, Other Conferences.

[3]  Yun-Kung J. Lin.  Feature Analysis For Forward Looking Infrared (FLIR) Target Identification , 1982, Optics & Photonics.

[4]  Charles F. Hester,et al.  Intra-Class Infrared (IR) Tank Pattern Recognition Using Synthetic Discriminant Functions (SDFs) , 1981, Optics & Photonics.

[5]  Claes Ohman.  Practical Methods For Improving Thermal Measurements , 1982, Other Conferences.

[6]  Mahendra Kumar.  Use Of Reflectivity Ratios To Measure Light Interception By Crops , 1980, Other Conferences.

[7]  Mark L. Burton,et al.  Comparison Of Imaging Infrared Detection Algorithms , 1982, Optics & Photonics.

[8]  David Casasent,et al.  Infrared Ship Classification Using A New Moment Pattern Recognition Concept , 1982, Optics & Photonics.

[9]  D. Bosman,et al.  Geometric Reconstruction of Buried Heat Sources from a Surface Thermogram , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Janmin Keng.  Automatic Ship Recognition Using A Passive Radiometric Sensor , 1982, Optics & Photonics.

[11]  H Matlock,et al.  PREDICTION OF TEMPERATURE AND STRESSES IN HIGHWAY BRIDGES BY A NUMERICAL PROCEDURE USING DAILY WEATHER REPORTS , 1977 .

[12]  Robert J. Woodham,et al.  Analysing Images of Curved Surfaces , 1981, Artif. Intell..

[13]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[14]  Richard L. Koral,et al.  Handbook of Air Conditioning, Heating, and Ventilating , 1979 .

[15]  Industrial Energy Division.  Heating ventilating and air conditioning , 1985 .

[16]  John R. Schott,et al.  Comparison Of Modelled And Empirical Atmospheric Propagation Data , 1984, Optics & Photonics.

[17]  R. A. Aguilera.  Advanced IR Imaging Seeker Program , 1980, Optics & Photonics.

[18]  S. Grinaker,et al.  Discrimination and classification of vehicles in natural scenes from thermal imagery , 1983, Comput. Vis. Graph. Image Process..

[19]  J. Howell,et al.  Solar-thermal energy systems : analysis and design , 1982 .

[20]  Joseph H. Pierluissi,et al.  A Transmittance Model For Atmospheric Methane , 1985, Optics & Photonics.

[21]  Jake K. Aggarwal,et al.  FINDING RANGE FROM STEREO IMAGES. , 1985 .

[22]  N. Nandhakumar,et al.  The artificial intelligence approach to pattern recognition--a perspective and an overview , 1985, Pattern Recognit..

[23]  B K Horn,et al.  Calculating the reflectance map. , 1979, Applied optics.

[24]  L Sevigny.  Evaluation of a class of segmenters for Ir imagery , 1980 .