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  • CUMTB
  • Beijing

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mepleleo/README.md

Hi there 👋

  • 🔭 遥感/高光谱/影像/深度学习方面的研究
  • 🌱 下面的库大家可能会用到

DSM高光谱数据增强：https://github.com/mepleleo/DA_peanut
APNET图像分类和APDET目标检测模型：https://github.com/mepleleo/APDet-pytorch

一些波段选择方法

SPA连续投影算法：https://github.com/mepleleo/SPA
CARS波段选择代码：https://github.com/mepleleo/CARS_band_selection
BIA波段选择方法的代码：https://github.com/mepleleo/BIA-bandselection
BSNET波段选择方法：https://github.com/mepleleo/BS-Nets
OPBS波段选择代码：https://github.com/mepleleo/OPBS
XAI波段选择：https://github.com/mepleleo/XAI-bandselection
BSCNN波段选择：https://github.com/mepleleo/BSCNN
GCSR波段选择：https://github.com/mepleleo/GCSR-BS

高光谱预处理

高光谱预处理方法：https://github.com/mepleleo/hyperspectral_pretreatment
马氏距离剔异常值：https://github.com/mepleleo/mahalanob_mashijuli

Pinned Loading

  1. SPA SPA Public

    连续投影算法Successive Projections Algorithm (SPA)

    Python 21 1

  2. CARS_band_selection CARS_band_selection Public

    竞争性自适应重加权采样法（competitive adapative reweighted sampling， CARS）python代码

    Python 21

  3. BIA-bandselection BIA-bandselection Public

    Python 5

  4. hyperspectral_pretreatment hyperspectral_pretreatment Public

    高光谱数据预处理方法python代码

    Python 62 7

  5. DA_peanut DA_peanut Public

    Python 1

  6. APDet-pytorch APDet-pytorch Public

    the implemention of APNet and APDet for hyperspectral moldy peanut identification