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coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

custom-made-sar-speckle-reduction

Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added thresholds). -Lee filter(Using Masks, ENL ect). Note these fitlers are developed without the use of loops to make them faster.

dct-fft-and-denoising

DCT、FFT压缩与均值滤波、中值滤波、高斯滤波、二维统计滤波、自适应中值滤波、维纳滤波、kNN滤波、NL-Means滤波的matlab实现

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

despecknet

These are a set of scripts to train a deep learning based SAR image despeckling method.

dress

好耶 是女装

id-cnn

SAR Image Despeckling Using a Convolutional Neural Network

jash-good-idea-20200304-001

耕莘護專 ~ 示範的3D口罩折法(Jash-good-idea-20200304-001)

mscnn

Caffe implementation of our multi-scale object detection framework

mscnn_keras

Single Image Dehazing via Multi-scale Convolutional Neural Networks论文去雾代码，Keras实现

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sar

Despeckling Synthetic Aperture Radar Images using a Deep Residual CNN

sar-cnn

SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy - Notebook implementation usable on Google Colaboratory

sar-cnn-1

SAR image despeckling through convolutional neural networks

sar-drn

Q. Zhang, Q. Yuan, J. Li, Z. Yang, and X. Ma, "Learning a Dilated Residual Network for SAR Image Despeckling," Remote Sensing, 2018.

slambook2

edition 2 of the slambook