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卷积神经网络用于两幅遥感图像或者红外和可见光图像的融合 CNN-Fusion

于 2020-08-27 发布
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说明：  卷积神经网络用于两幅遥感图像或者红外和可见光图像的融合(For fusion of two remote sensing images or infrared and visible images)

文件列表：

CNN-Fusion, 0 , 2020-04-27
CNN-Fusion\.idea, 0 , 2020-04-20
CNN-Fusion\.idea\CNN-Fusion-master.iml, 638 , 2020-03-28
CNN-Fusion\.idea\inspectionProfiles, 0 , 2020-05-06
CNN-Fusion\.idea\misc.xml, 294 , 2020-03-27
CNN-Fusion\.idea\modules.xml, 293 , 2020-03-27
CNN-Fusion\.idea\workspace.xml, 26874 , 2020-04-20
CNN-Fusion\__pycache__, 0 , 2020-03-28
CNN-Fusion\__pycache__\cifar_data_hls.cpython-36.pyc, 5853 , 2020-03-28
CNN-Fusion\__pycache__\fusion_model.cpython-36.pyc, 12026 , 2020-03-28
CNN-Fusion\cifar_data_hls.py, 6383 , 2020-03-28
CNN-Fusion\fusion image, 0 , 2020-05-06
CNN-Fusion\fusion image\fusion1.jpg, 45721 , 2020-04-19
CNN-Fusion\fusion image\fusion2.jpg, 16969 , 2020-04-19
CNN-Fusion\fusion.py, 955 , 2020-04-20
CNN-Fusion\fusion_model.py, 15723 , 2020-03-28
CNN-Fusion\image, 0 , 2020-05-06
CNN-Fusion\image\ms1.jpg, 33350 , 2019-04-25
CNN-Fusion\image\ms2.jpg, 12150 , 2019-04-25
CNN-Fusion\image\pan1.jpg, 39964 , 2019-04-25
CNN-Fusion\image\pan2.jpg, 15772 , 2019-04-25
CNN-Fusion\logs, 0 , 2020-04-20
CNN-Fusion\logs\fusion_model, 0 , 2020-04-20
CNN-Fusion\logs\fusion_model\events.out.tfevents.1587390923.DESKTOP-GAK6HHP, 888503 , 2020-04-20
CNN-Fusion\saves, 0 , 2020-03-27
CNN-Fusion\saves\fusion_model, 0 , 2020-03-27
CNN-Fusion\saves\fusion_model\checkpoint, 77 , 2019-04-25
CNN-Fusion\saves\fusion_model\model.ckpt.data-00000-of-00001, 7794476 , 2019-04-25
CNN-Fusion\saves\fusion_model\model.ckpt.index, 5604 , 2019-04-25
CNN-Fusion\saves\fusion_model\model.ckpt.meta, 450860 , 2019-04-25
CNN-Fusion\train.py, 948 , 2020-03-28
CNN-Fusion\venv, 0 , 2020-03-28
CNN-Fusion\venv\000.py, 44 , 2020-03-28
CNN-Fusion\venv\Include, 0 , 2020-05-06
CNN-Fusion\venv\Lib, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\easy-install.pth, 55 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO\PKG-INFO, 2972 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO\SOURCES.txt, 12502 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO\dependency_links.txt, 1 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO\entry_points.txt, 98 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO\not-zip-safe, 2 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO\requires.txt, 74 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\EGG-INFO\top_level.txt, 4 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\__init__.py, 24 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\__main__.py, 629 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\__init__.py, 8675 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\basecommand.py, 14014 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\baseparser.py, 8764 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\build_env.py, 2773 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\cache.py, 7023 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\cmdoptions.py, 16679 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\__init__.py, 2297 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\check.py, 1500 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\completion.py, 3018 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\configuration.py, 7343 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\download.py, 9092 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\freeze.py, 3320 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\hash.py, 1729 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\help.py, 1079 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\install.py, 20270 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\list.py, 11957 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\search.py, 4842 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\show.py, 6378 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\uninstall.py, 2786 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\commands\wheel.py, 6986 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\compat.py, 7912 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\configuration.py, 13330 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\download.py, 34257 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\exceptions.py, 8470 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\index.py, 41718 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\locations.py, 6504 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\models, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\models\__init__.py, 85 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\models\index.py, 433 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\operations, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\operations\__init__.py, 0 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\operations\check.py, 3776 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\operations\freeze.py, 10277 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\operations\prepare.py, 15496 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\pep425tags.py, 11115 , 2020-03-27
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CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\req\req_uninstall.py, 17002 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\resolve.py, 13939 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\status_codes.py, 164 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\utils, 0 , 2020-03-27
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CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\utils\appdirs.py, 9372 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\utils\deprecation.py, 2374 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\utils\encoding.py, 1058 , 2020-03-27
CNN-Fusion\venv\Lib\site-packages\pip-10.0.1-py3.6.egg\pip\_internal\utils\filesystem.py, 937 , 2020-03-27

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    可直接计算得到多重分形谱,用于建立主成分分析模型，保证准确无误，是学习通信的好帮手。( It can be directly calculated multi-fractal spectrum, Principal component analysis model for establishing, Ensure accurate communication is learning a good helper.)
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    积分：1
  • xbnl
    小波包分解，求能量程序，，对小波包的了解掌握都很有用，希望对读者游泳(the wavelet packet decomposition and energy distribution )
    2016-08-01 20:18:07下载
    积分：1
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    NASA开源的匹配追踪分解算法，用于信号分解以及特征提取。(Matching Pursuit Decomposition is a powerful and effective iterative algorithm for signal decomposition and feature extraction. Matching Pursuit Decomposition decomposes any signal into linear combinations of its dictionary elements or atoms.)
    2019-03-01 15:08:05下载
    积分：1
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