Download Neural Networks in Atmospheric Remote Sensing (Artech House by William J. Blackwell PDF

By William J. Blackwell

A neural community refers to interconnecting synthetic neurons that mimic the homes of organic neurons to accomplish subtle, clever projects. This authoritative reference deals a entire knowing of the underpinnings and useful purposes of synthetic neural networks and their use within the retrieval of geophysical parameters. pros locate professional assistance at the improvement and review of neural community algorithms that approach info from a brand new new release of hyperspectral sensors. Engineers notice tips on how to use neural networks to approximate distant sensing inverse services with emphasis on version choice, preprocessing, initialization, education, and function overview.

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27 Physical Background of Atmospheric Remote Sensing θ z2 s2 p1 ds . 6 Geometry of the planar-stratified atmospheric radiative transfer equation. 62) and gives the relative contribution of the radiance emanating from each altitude. Note that the Planck radiances are weighted, not the temperature profile. It is sometimes useful to define a temperature weighting function, where the temperature profile is weighted directly. One approach is to express the radiance intensity Rν (L) in terms of a “blackbody-equivalent” brightness temperature TB,ν (L) (the temperature of a blackbody that produces a radiance equivalent to Rν (L) – note that TB,ν (L) = Bν ) and linearize about a nominal temperature profile T0 (z) and corresponding radiance R0,ν (L).

27 Physical Background of Atmospheric Remote Sensing θ z2 s2 p1 ds . 6 Geometry of the planar-stratified atmospheric radiative transfer equation. 62) and gives the relative contribution of the radiance emanating from each altitude. Note that the Planck radiances are weighted, not the temperature profile. It is sometimes useful to define a temperature weighting function, where the temperature profile is weighted directly. One approach is to express the radiance intensity Rν (L) in terms of a “blackbody-equivalent” brightness temperature TB,ν (L) (the temperature of a blackbody that produces a radiance equivalent to Rν (L) – note that TB,ν (L) = Bν ) and linearize about a nominal temperature profile T0 (z) and corresponding radiance R0,ν (L).

6 Geometry of the planar-stratified atmospheric radiative transfer equation. 62) and gives the relative contribution of the radiance emanating from each altitude. Note that the Planck radiances are weighted, not the temperature profile. It is sometimes useful to define a temperature weighting function, where the temperature profile is weighted directly. One approach is to express the radiance intensity Rν (L) in terms of a “blackbody-equivalent” brightness temperature TB,ν (L) (the temperature of a blackbody that produces a radiance equivalent to Rν (L) – note that TB,ν (L) = Bν ) and linearize about a nominal temperature profile T0 (z) and corresponding radiance R0,ν (L).

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