jschenqiye

jschenqiye's Stars

• CheckBoxStudio/BUAAThesis

  北航研究生学位论文模板（Word+LaTeX）.

  Language:TeX527109

• BHOSC/BUAAthesis

  北航毕设论文LaTeX模板

  Language:TeX995284

• RSIDEA-WHU2020/SGSNMF_TGRS

  X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.

  31

• Vikki23/SLIC_for_hyperspectral_images

  This set of files contains the Matlab code for the SLIC segmentation on the hyperspectral images.

  Language:C++246

• taki0112/Tensorflow2-Cookbook

  Simple Tensorflow 2.x Cookbook for easy-to-use

  Language:Python26451

• leftthomas/ESPCN

  A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

  Language:Python506121

• MeiShaohui/3DCAE-hyperspectral-classification

  Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

  Language:Python8331

• danfenghong/ECCV2020_CUCaNet

  Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution, ECCV, 2020. (PyTorch)

  Language:Python9213

• junjun-jiang/Hyperspectral-Image-Super-Resolution-Benchmark

  A list of hyperspectral image super-solution resources collected by Junjun Jiang

  442120

• arthur-e/unmixing

  Interactive tools for spectral mixture analysis of multispectral raster data in Python

  Language:Python10524

• Pol22/NAS_DIP

  Language:Python72

• acecreamu/deep-hs-prior

  Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

  Language:Jupyter Notebook12138

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k15.8k

• DmitryUlyanov/deep-image-prior

  Image restoration with neural networks but without learning.

  Language:Jupyter Notebook7.8k1.4k