文件列表:

ISAR运动补偿 (0, 2017-03-16)
ISAR运动补偿\ECHOBACK.M (1107, 2000-06-14)
ISAR运动补偿\EUCLIDE.M (1522, 2000-06-12)
ISAR运动补偿\Echobackcall.m (162, 2000-06-14)
ISAR运动补偿\FINAL.M (1469, 2000-06-14)
ISAR运动补偿\FSOUM1.M (1173, 1999-06-23)
ISAR运动补偿\FSOUM2.M (1256, 1998-05-01)
ISAR运动补偿\NENE.M (1555, 2000-06-12)
ISAR运动补偿\NORMAL_C.M (1528, 2000-06-12)
ISAR运动补偿\NORMAL_L.M (1477, 2000-06-12)
ISAR运动补偿\POINTS.M (740, 1999-07-02)
ISAR运动补偿\SAMPLES.asv (4230, 2004-11-10)
ISAR运动补偿\SINKY.M (1326, 2000-06-12)
ISAR运动补偿\SOMAX.M (345, 2004-11-10)
ISAR运动补偿\SOPLOT.M (666, 2000-06-12)
ISAR运动补偿\THREEST.M (1912, 2000-06-12)
ISAR运动补偿\gdata.mat (15286, 2005-06-28)
ISAR运动补偿\sdata.mat (4959, 2005-06-28)
ISAR运动补偿\zdata.mat (250566, 2005-06-28)

Rotation: This program contains the image reconstruction algorithms. Following is a listing of the functions required to implement the algorithms. It is assumed that the user has available the following matlab toolboxes: Optimization Toolbox Signal Processing Toolbox Statistic Toolbox Image Processing Toolbox GENERATION OF SIMULATED DATA Samples.m Graphical user interface (GUI) to visualize the estimated sample locations using points.m function. points.m Generates the sample position matrix. echoback.m Generate the target echo signature. echobackcall.m Loads data and provides point position in the target. IMAGE RECONSTRUCTION FUNCTIONS final.m Calls one of the several interpolation functions. threest.m Three step interpolation function. It implements the three steps of the one-dimensional interpolation methods. It must call one of the functions among normal_l.m, normal_c.m or sinky.m. normal_l.m Linear interpolation function. normal_c.m Cubic splines interpolation function. sinky.m Shannon reconstruction function. nene.m Nearest neighbor approximation function euclide.m Euclidean approximation function. fsoum1.m Airy pattern interpolation function. fsoum2.m Spatial domain interpolation function. IMAGING PROGRAMS soplot.m Plots original images and interpolated images. somax.m Creates a GUI to find the amplitude of a local maxima. ALGORITHM IMPLEMENTATION 1. Generate the estimated sample locations using samples.m 2. Generate the target echo signature with echobackcall.m if a simulated target is desired. Skip this step if real data is available. If real data is used, then the real data must be saved with zdata.mat. 3. Interpolate the data using final.m, which calls one of several interpolation functions. Note that threest.m calls one of three one-dimensional interpolation functions.

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