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MRT_Steup

于 2020-06-23 发布
0 247
下载积分: 1 下载次数: 1

代码说明:

说明:  modis一般是hdf数据,使用MRT(MODIS Reprojection Tool)工具可以将数据装换为.tif格式以及提取拼接(Modis is commonly HDF data, and the data can be reprojected to the.tif format and outprojection using the MRT (modis Reprojection Tool))

文件列表:

MRT_Steup, 0 , 2017-08-18
MRT_Steup\append_meta, 0 , 2011-04-06
MRT_Steup\append_meta\append_meta.c, 37303 , 2011-04-06
MRT_Steup\append_meta\append_meta.h, 2252 , 2011-04-06
MRT_Steup\append_meta\Makefile, 1167 , 2011-04-06
MRT_Steup\bin, 0 , 2017-09-14
MRT_Steup\bin\abc.hdr, 1677 , 2011-04-06
MRT_Steup\bin\abc.prm, 450 , 2011-04-06
MRT_Steup\bin\append_meta.exe, 459264 , 2011-04-06
MRT_Steup\bin\cathead.cat256.dat, 65536 , 2011-04-06
MRT_Steup\bin\cathead.cat512.dat, 262144 , 2011-04-06
MRT_Steup\bin\cathead.hdr, 701 , 2011-04-06
MRT_Steup\bin\cathead.head256.dat, 65536 , 2011-04-06
MRT_Steup\bin\cathead.head512.dat, 262144 , 2011-04-06
MRT_Steup\bin\cathead.met, 14820 , 2011-04-06
MRT_Steup\bin\cathead.prm, 525 , 2011-04-06
MRT_Steup\bin\dumpmeta.exe, 451072 , 2011-04-06
MRT_Steup\bin\fcgtiff.exe, 60416 , 2011-04-06
MRT_Steup\bin\gtiff_composite.exe, 506880 , 2011-04-06
MRT_Steup\bin\hdf2rb.exe, 887808 , 2011-04-06
MRT_Steup\bin\hdflist.exe, 571904 , 2011-04-06
MRT_Steup\bin\mod09.prm, 839 , 2011-04-06
MRT_Steup\bin\mod09ghk.met, 14821 , 2011-04-06
MRT_Steup\bin\ModisTool.bat, 680 , 2017-08-18
MRT_Steup\bin\ModisTool.ICO, 3774 , 2011-04-06
MRT_Steup\bin\ModisTool.jar, 140175 , 2011-04-06
MRT_Steup\bin\mrtbatch.bat, 6510 , 2017-09-01
MRT_Steup\bin\MRTBatch.jar, 27050 , 2011-04-06
MRT_Steup\bin\mrtmosaic.exe, 1026560 , 2011-04-06
MRT_Steup\bin\resample.exe, 1084416 , 2011-04-06
MRT_Steup\bin\resample.log, 51978 , 2017-09-14
MRT_Steup\bin\revendian.exe, 760320 , 2011-04-06
MRT_Steup\bin\sdslist.exe, 448000 , 2011-04-06
MRT_Steup\bin\test.prm, 1592 , 2011-04-06
MRT_Steup\bin\test1.prm, 1594 , 2011-04-06
MRT_Steup\bin\testin.band1.dat, 1000000 , 2011-04-06
MRT_Steup\bin\testin.hdr, 646 , 2011-04-06
MRT_Steup\bin\testin.met, 14819 , 2011-04-06
MRT_Steup\bin\testin1.band1.dat, 1000000 , 2011-04-06
MRT_Steup\bin\testin1.hdr, 636 , 2011-04-06
MRT_Steup\bin\testin1.met, 14819 , 2011-04-06
MRT_Steup\bin\TmpMosaic.prm, 130 , 2017-09-14
MRT_Steup\bin\TmpParam.prm, 1037 , 2017-09-14
MRT_Steup\bin\update_tile_meta.exe, 456704 , 2011-04-06
MRT_Steup\bin\world.jpg, 44517 , 2011-04-06
MRT_Steup\data, 0 , 2011-04-06
MRT_Steup\data\conus.las, 534848 , 2011-04-06
MRT_Steup\data\conus.los, 534848 , 2011-04-06
MRT_Steup\data\datum.txt, 17426 , 2011-04-06
MRT_Steup\data\nad27sp, 14473 , 2011-04-06
MRT_Steup\data\nad83sp, 14473 , 2011-04-06
MRT_Steup\data\spheroid.txt, 1225 , 2011-04-06
MRT_Steup\doc, 0 , 2011-04-06
MRT_Steup\doc\MRT_Users_Manual.doc, 784896 , 2011-04-06
MRT_Steup\doc\MRT_Users_Manual.pdf, 933317 , 2011-04-06
MRT_Steup\doc\ReleaseNotes.txt, 49228 , 2011-04-06
MRT_Steup\dumpmeta, 0 , 2011-04-06
MRT_Steup\dumpmeta\dumpmeta.c, 4415 , 2011-04-06
MRT_Steup\dumpmeta\Makefile, 1333 , 2011-04-06
MRT_Steup\gctp, 0 , 2011-04-06
MRT_Steup\gctp\64bitCompile.README, 666 , 2011-04-06
MRT_Steup\gctp\alberfor.c, 4053 , 2011-04-06
MRT_Steup\gctp\alberinv.c, 5488 , 2011-04-06
MRT_Steup\gctp\alconfor.c, 5111 , 2011-04-06
MRT_Steup\gctp\alconinv.c, 6427 , 2011-04-06
MRT_Steup\gctp\azimfor.c, 3596 , 2011-04-06
MRT_Steup\gctp\aziminv.c, 3649 , 2011-04-06
MRT_Steup\gctp\br_gctp.c, 736 , 2011-04-06
MRT_Steup\gctp\cproj.c, 12511 , 2011-04-06
MRT_Steup\gctp\cproj.h, 943 , 2011-04-06
MRT_Steup\gctp\eqconfor.c, 4296 , 2011-04-06
MRT_Steup\gctp\eqconinv.c, 4536 , 2011-04-06
MRT_Steup\gctp\equifor.c, 2712 , 2011-04-06
MRT_Steup\gctp\equiinv.c, 2759 , 2011-04-06
MRT_Steup\gctp\for_init.c, 18635 , 2011-04-06
MRT_Steup\gctp\gctp.c, 9861 , 2011-04-06
MRT_Steup\gctp\gnomfor.c, 3402 , 2011-04-06
MRT_Steup\gctp\gnominv.c, 3798 , 2011-04-06
MRT_Steup\gctp\goodfor.c, 6032 , 2011-04-06
MRT_Steup\gctp\goodinv.c, 7222 , 2011-04-06
MRT_Steup\gctp\gvnspfor.c, 3791 , 2011-04-06
MRT_Steup\gctp\gvnspinv.c, 4394 , 2011-04-06
MRT_Steup\gctp\hamfor.c, 2967 , 2011-04-06
MRT_Steup\gctp\haminv.c, 2930 , 2011-04-06
MRT_Steup\gctp\imolwfor.c, 4836 , 2011-04-06
MRT_Steup\gctp\imolwinv.c, 4278 , 2011-04-06
MRT_Steup\gctp\inv_init.c, 18808 , 2011-04-06
MRT_Steup\gctp\isin.h, 4522 , 2011-04-06
MRT_Steup\gctp\isinfor.c, 20351 , 2011-04-06
MRT_Steup\gctp\isininv.c, 21367 , 2011-04-06
MRT_Steup\gctp\lamazellipsfor.c, 5743 , 2011-04-06
MRT_Steup\gctp\lamazellipsinv.c, 6694 , 2011-04-06
MRT_Steup\gctp\lamazfor.c, 4051 , 2011-04-06
MRT_Steup\gctp\lamazinv.c, 4201 , 2011-04-06
MRT_Steup\gctp\lamccfor.c, 5773 , 2011-04-06
MRT_Steup\gctp\lamccinv.c, 4948 , 2011-04-06
MRT_Steup\gctp\Makefile, 2636 , 2011-04-06
MRT_Steup\gctp\merfor.c, 3324 , 2011-04-06
MRT_Steup\gctp\merinv.c, 3172 , 2011-04-06
MRT_Steup\gctp\millfor.c, 2935 , 2011-04-06

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发表评论

0 个回复

  • fractalfenxingwei
    一个分形维的代码,用差分盒维计算图像的分形维值!还不错!(a fractal dimension of the code, with the difference box dimension calculations images of fractal dimension values! Also good!)
    2005-07-29 20:28:33下载
    积分:1
  • RK龙格库塔计算微分方程组
    使用4阶龙格库塔定理计算一阶微分方程组,方程组有3个方程(RK calculation of differential equations)
    2018-04-13 13:01:19下载
    积分:1
  • read_shape
    说明:  裁剪shape文件,使用idl编程实现,就是一个功能,编译以后可以直接调用这个函数(Clipping shape file, using idl programming, is a function, after compiling can directly call this function)
    2019-04-16 17:16:27下载
    积分:1
  • dual-tree
    首先将非平稳的故障振动信号进行双树复小波包分解,得 到不同频带的分量;然后对每个分量求其峭度值和相关系数并进行比较;最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构,即可有效地消除振动信号中噪声的干扰,同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)
    2014-05-28 17:02:14下载
    积分:1
  • New_Method_for_License_Plate_Recognition
    a.牌照定位,定位图片中的牌照位置; b.牌照字符分割,把牌照中的字符分割出来; c.牌照字符识别,把分割好的字符进行识别,最终组成牌照号码。 (a. License Plate Location, location location of the picture of the license b. Character Segmentation license to license the characters split up c. license character recognition, to split a good character to identify the final composition of license number. )
    2009-09-20 18:54:46下载
    积分:1
  • Array-xiang_cheng-Doolittle-fen_jie
    非常经典的矩阵相乘以及矩阵的Doolittle分解的程序,可用于数字图像处理( Doolittle decomposition process is very classical matrix multiplication and matrix can be used for digital image processing)
    2014-11-24 12:46:16下载
    积分:1
  • 点云特征提取 详细 实用 经典的讲述过程及方法FeatureExtractionFromPointClouds
    点云特征提取 详细 实用 经典的讲述过程及方法(Point Cloud Feature Extraction practical details about the processes and methods of classic)
    2020-07-09 10:18:55下载
    积分:1
  • lifangticaisekongzhi
    说明:  彩色立方体控制 彩色立方体 控制 彩色立方体 控制 彩色立方体(color cube control color cube c ontrol co lor cube with color cube control system color cube)
    2006-04-24 11:10:12下载
    积分:1
  • pinggu
    基于matlab实现对 图像的亮度提取 以及对其亮度均匀性进行评估!(Matlab-based implementation of image brightness, as well as its extraction to assess the uniformity of brightness!)
    2009-03-03 22:28:59下载
    积分:1
  • xulietuxiangjianceyuchongjian
    针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)
    2010-12-02 11:56:32下载
    积分:1
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