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Atmospheric Acoustic Remote Sensing - Chapter 7 docx

Atmospheric Acoustic Remote Sensing - Chapter 1 ppt

Atmospheric Acoustic Remote Sensing - Chapter 1 ppt

... 34(7): 10 01 10 27.Singal SP (19 97) Acoustic remote- sensing applications. Springer-Verlag, Berlin, 405 pp.3588_C0 01. indd 10 11 /20/07 5 :17 :38 PM© 2008 by Taylor & Francis Group, LLCxviii Atmospheric ... Phased-Array Frequency Range 10 95 .1. 4 Dish Design 11 05 .1. 5 Designing for Absorption and Background Noise 11 15 .1. 6 Rejecting Rain Clutter 11 25 .1. 7 How Much Power Should Be Transmitted? 11 43588.indb ... Methods 10 04 .14 Summary 10 3References 10 3 Chapter 5 SODAR Systems and Signal Quality 10 55 .1 Tra nsducer and A nt enna Combinations 10 55 .1. 1 Speakers and Microphones 10 55 .1. 2 Hor ns 10 85 .1. 3...
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Atmospheric Acoustic Remote Sensing - Chapter 2 potx

Atmospheric Acoustic Remote Sensing - Chapter 2 potx

... TABLE 2. 1Proles of CT 2 and CV 2 from Moulsley et al. (1981)z (m) CV 2 (m4/3s 2 ) CT 2 (K 2 m 2/ 3)46 3.1 ì 10 2 6.31 ì 10460 2. 5 ì 10 2 6.0ì10467 2. 2 ì 10 2 5.0ì10481 2. 1 ì 10 2 4.0ì10495 ... 10 2 4.0ì10495 2. 0 ì 10 2 3.0ì104109 2. 1 ì 10 2 2 .21 ì 104137 2. 2 ì 10 2 1.51 ì 104193 1.9 ì 10 2 8.0ì105 24 2 1.5 ì 10 2 5.0ì105The SODAR frequency was 20 48 Hz, beamwidth 9, and T = 12C.â 20 08 ... areEEÔƯƠƠƠƠảàààààCCCCCVTVT 2 32 2 2 197 022 .,.,/1VViriRPRTgz 2 163 dd1 (2. 21) 2. 6 MONIN-OBOUKHOV LENGTHThe cascade theory predicts that when F = 0 there is no turbulent energy. From (2. 19) this...
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Atmospheric Acoustic Remote Sensing - Chapter 3 ppt

Atmospheric Acoustic Remote Sensing - Chapter 3 ppt

... identify small-scale land surface characteristics. Acta Acoustica 87: 731737 . 35 88_C0 03. indd 53 11/20/07 4 :39 : 43 PM© 2008 by Taylor & Francis Group, LLC 36 Atmospheric Acoustic Remote Sensing In ... andAPPeyĐâăăăÃạáákCTCcTV 13 11 3 222220 033 076// ááyMMPL 83 21 23 1 13 20 53 20 3 520 033 /////.dLTkLCTTCcV222076ÔƯƠƠƠƠảààààà PPan-Naixian (20 03) argues that ... thatcTs . (3. 2)Allowing for T being the temperature in K, and that the speed of sound at 0°C is 33 2ms–1,cT T() ( . ) , 33 2 1 0 001661$ ms (3. 3) 35 88_C0 03. indd 27 11/20/07 4 :37 : 13 PM©...
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Atmospheric Acoustic Remote Sensing - Chapter 4 ppt

Atmospheric Acoustic Remote Sensing - Chapter 4 ppt

... (4. 38)3588_C0 04. indd 97 11/20/07 5:00: 24 PM© 2008 by Taylor & Francis Group, LLC96 Atmospheric Acoustic Remote Sensing 4. 10 FREQUENCY-DEPENDENT FORM OFTHE ACOUSTIC RADAR EQUATIONThe acoustic ... FourJay 44 0-8 speaker at 3 kHz with a 1.2-m diameter dish having a focal length of 580 mm.3588_C0 04. indd 61 11/20/07 4: 57:05 PM© 2008 by Taylor & Francis Group, LLC88 Atmospheric Acoustic Remote ... , , .FIGURE 4. 44 A step-chirp signal having M = 5 frequency steps.3588_C0 04. indd 101 11/20/07 5:00:37 PM© 2008 by Taylor & Francis Group, LLC58 Atmospheric Acoustic Remote Sensing cal....
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Atmospheric Acoustic Remote Sensing - Chapter 5 potx

Atmospheric Acoustic Remote Sensing - Chapter 5 potx

... (m)100090080000202040–40–40–20–20–60–60700600 50 04003002001001 1 .5 2 2 .5 3 3 .5 4 4 .5 5 5. 5 6Frequency (kHz)Height (m)1000900800700600 50 04003002001001 1 .5 2 2 .5 3 3 .5 4 4 .5 5 5. 5 6FIGURE 5. 27 SNR versus ... (m)AeroVironment 4000RISØ 450 0 50 3 10Metek PCS200 0-6 4 with 1290 MHz RASSSalford 1674 64 5 15 Scintec SFAS WINDTESTKWK 254 0–4 850 64 9 5 358 8_C0 05. indd 140 11/20/07 4:24: 35 PM© 2008 by Taylor ... 10203040 50 60708090100z/L 50 00100200300400Data availability (%)Height z (m)128 Atmospheric Acoustic Remote Sensing 5. 5 LOSS OF SIGNAL IN NOISEOne of the principal problems of ground-based remote sensing...
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Atmospheric Acoustic Remote Sensing - Chapter 6 pdf

Atmospheric Acoustic Remote Sensing - Chapter 6 pdf

... s–1) 6 –4 –2–22–44 6 62 4 6 172 Atmospheric Acoustic Remote Sensing TABLE 6. 1List of parameters for the Metek SODARParameter Description ValuefT(Hz) Transmitted frequency 167 4UsPulse ... estimator:SNimimP21200180 160 140120100Height (m)80 60 4020–15 –10 –5 0Along-beam Velocity (m/s)51015FIGURE 6. 6 The spectra of Figure 6. 5 shown as a contour plot.3588_C0 06. indd 165 11/20/07 4:18:27 ... 190 11/20/07 4:20: 56 PM© 2008 by Taylor & Francis Group, LLC1 86 Atmospheric Acoustic Remote Sensing HFFQHFFQ12``uvuvcos sin sinsin cos sin (6. 61)where R is the beam...
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Atmospheric Acoustic Remote Sensing - Chapter 7 docx

Atmospheric Acoustic Remote Sensing - Chapter 7 docx

... International Symposium on Acoustic Remote Sensing. 3588_C0 07. indd 211 11/20/ 07 4: 17: 06 PM© 2008 by Taylor & Francis Group, LLC208 Atmospheric Acoustic Remote Sensing 7. 9.1 RANGEThe maximum ... SODAR.RADARtransmitterRADARreceiver Acoustic arrayFIGURE 7. 6 The layout of the Metek RASS.Wind Profiler Acoustic Acoustic Acoustic AcousticFIGURE 7. 7 A RASS conguration which uses the best of four acoustic antennas, ... downstream.FIGURE 7. 5 The Metek MERASS.3588_C0 07. indd 205 11/20/ 07 4:16:52 PM© 2008 by Taylor & Francis Group, LLC1 97 7RASS SystemsRadio acoustic sounding systems (RASSs) are remote- sensing systems...
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Atmospheric Acoustic Remote Sensing - Chapter 8 (end) pot

Atmospheric Acoustic Remote Sensing - Chapter 8 (end) pot

... 09.15< 98 dB Scale 98 96949290 88 86 84 82 80 78 7674<72100200FIGURE 8. 13 The transition from stable boundary layer to convective boundary layer. The vertical scale is height in m.3 588 _C0 08. indd ... turbulence is suppressed 3 588 _C0 08. indd 217 11/20/07 4:15:14 PM© 20 08 by Taylor & Francis Group, LLC224 Atmospheric Acoustic Remote Sensing 3. Arrays of acoustic remote sensing instruments can ... provide the necessary acoustic refractive index data on a continuous basis over a representative time scale. 02:15 02:30 02:45 03:00> 98 >72 98 96949290 88 86 84 82 80 78 767402:0001:3001:1501:0000:4500:3000:1510020001:45dB...
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Radio Propagation and Remote Sensing of the Environment - Chapter 7 docx

Radio Propagation and Remote Sensing of the Environment - Chapter 7 docx

... inhomogeneities is of primary important (see Chapter 5). We© 2005 by CRC Press 214 Radio Propagation and Remote Sensing of the Environment and the function (see Equations (4 .78 ) and (4 .79 )): (7. 11)It ... 6scoglklL=53221 07. ,µ TF 171 0_book.fm Page 219 Thursday, September 30, 2004 1:43 PM© 2005 by CRC Press 220 Radio Propagation and Remote Sensing of the Environment 7. 5 THE COHERENCE FUNCTION OF A ... TF 171 0_book.fm Page 212 Thursday, September 30, 2004 1:43 PM© 2005 by CRC Press 218 Radio Propagation and Remote Sensing of the Environment In this case, we can neglect the role of small-scale...
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Environmental Modelling with GIs and Remote Sensing - Chapter 7 pptx

Environmental Modelling with GIs and Remote Sensing - Chapter 7 pptx

... 2002 Andrew Skidmore140 Environmental Modelling with CIS and Remote Sensing Kumar, L., Skidmore, A.K. and Knowles, E., 19 97, Modelling topographic variation in solar radiation in a GIs ... Ecology and Management, 70 ,9 9-1 12. Copyright 2002 Andrew SkidmoreApplication of remote sensing and GIs in wildlife mapping and modelling 1 27 Vegetation maps as well as so-called habitat maps ... Skidmore134 Environmental Modelling with CIS and Remote Sensing ,' ,, -I- , change in numb. . , and location ; + Settlement Census - population growtG ( Mon~torlng j -, birthtemigration...
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High Performance Computing in Remote Sensing - Chapter 2 docx

High Performance Computing in Remote Sensing - Chapter 2 docx

... 12 High- Performance Computing in Remote Sensing is a good example of the computational requirements introduced by remote sensing applications, there are many other remote sensing areas in which ... processing systems so© 20 08 by Taylor & Francis Group, LLC High- Performance Computer Architectures for Remote Sensing 31 25 622 41 921 60 128 Number of CPUs9664 320 0 32 6496 128 1601 92 Linear ... 58 11 16 62 8 18 61 8 20 60Homogeneous 14 19 634 6 16 59 9 18 611 12 20 3 42 © 20 08 by Taylor & Francis Group, LLC36 High- Performance Computing in Remote Sensing strategies to increase the...
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High Performance Computing in Remote Sensing - Chapter 7 potx

High Performance Computing in Remote Sensing - Chapter 7 potx

... Group, LLC142 High- Performance Computing in Remote Sensing experiments was Linux Fedora Core, and MPICH was the message-passing libraryused (see http://www-unix.mcs.anl.gov/mpi/mpich). 7. 3.2 Hyperspectral ... architectures.© 2008 by Taylor & Francis Group, LLC144 High- Performance Computing in Remote Sensing TABLE 7. 2Execution Times (in Seconds) and Performance Ratios Reported for the Homogeneous Algorithms ... scores are slightly increased with regard to those obtained for HeteroCOM© 2008 by Taylor & Francis Group, LLC136 High- Performance Computing in Remote Sensing Figure 7. 1 Communication framework...
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High Performance Computing in Remote Sensing - Chapter 17 docx

High Performance Computing in Remote Sensing - Chapter 17 docx

... real-time processing fashions will be discussed to fit the three remote sensing data formats: pixel-by-pixel processing for BIP formats, line-by-lineprocessing for BIL formats, and band-by-band ... withone in the k-th component and zeros elsewhere. F∗can be determined byw∗i= ˆμiTP⊥ˆUi (17. 3)© 2008 by Taylor & Francis Group, LLC404 High- Performance Computing in Remote Sensing TABLE ... Francis Group, LLC406 High- Performance Computing in Remote Sensing model error. Abundances of all the endmembers in a pixel are related aspi=1αi= 1, 0 ≤ αi≤ 1, for any i (17. 21)which are...
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Signal Processing for Remote Sensing - Chapter 3 docx

Signal Processing for Remote Sensing - Chapter 3 docx

... to00.20.40.60.810.20.40.60.811.522.5 3 3.54False positive(a) ROC 3- D plot for vehicle(c) ROC 3- D plot for artillery(e) ROC 3- D plot for jet(f) ROC 3- D plot for shuttle(d) ROC 3- D plot for rocket(b) ROC 3- D plot for missileTrue ... Collect ed for Trainin g and Testin g 34 3. 3.2 Radial Ba sis Functio n Neu ral Ne tworks 34 3. 4 Data Pr eprocessin g 38 3. 4.1 Noi se Filterin g 38 3. 4.2 Feat ure Extractio n Pro cess 38 3. 4 .3 Useful ... three-dimensional receiver operating characteristic ( 3- D ROC) curve for each one of the neural modules (see Figure 3. 2).Infrasound signal Pre-processor 1Pre-processor 2Pre-processor 3 Pre-processor...
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Signal Processing for Remote Sensing - Chapter 11 docx

Signal Processing for Remote Sensing - Chapter 11 docx

... Transform 209 11. 3.3 The Projected PC Transform 209 11. 3.4 Evaluation of Compression Performance UsingTwo Different Metrics 210 11. 3.4.1 PC Filtering 210 11. 3.4.2 PC Regression 211 11.3.5 NAPC ... 207 11. 2.2 The Motivation for Computationall y Efficient Algorithms 208 11. 3 Principal Components Analysis of Hyperspec tral Sounding Data 208 11. 3.1 The PC Transform 209 11. 3.2 The NAPC Transform ... improved performance over PC transforms for minimizing cost func-tions such as in Equation 11. 6. It can be shown [11] that the optimal linear operator withrank r that minimizes Equation 11. 6 isLr¼...
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