your-dear-dady's Stars
cgohlke/geospatial-wheels
Geospatial library wheels for Python on Windows
walter201230/Python
最良心的 Python 教程:
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
YonghaoXu/RPNet
[ISPRS JP&RS 2018] Hyperspectral Image Classification via a Random Patches Network
summitgao/SAR_Change_Detection_GarborPCANet
Matlab code for paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet", IEEE GRSL 2016
AccumulateMore/CV
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
walking-shadow/Simple-Remote-Sensing-Change-Detection-Framework
A simplified implementation of remote sensing change detection based on pytorch
lixinghua5540/DTCDN
A deep translation (GAN) based change detection network for optical and SAR remote sensing images, 2021
qnscholar/zotero-if
Update IF for Zotero Items.
wylqq312715289/CDGAN
遥感影像变化检测-研究生毕设内容《基于深度学习的地面新增建筑检测方法研究》论文地址”https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2019&filename=JSJY201905048&v=ZAoNq9iAEt0DLyZyj0szKexdFHZt4%25mmd2B9zDBhI64Bu8NuwpaABIj6PJ8htg5nRdOXl“
likyoo/change_detection.pytorch
Deep learning models for change detection of remote sensing images
wenhwu/awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
Qingwang-7/Change_Detection
变化检测
ink19/sar_image_diff
SAR图像变化检测
zhc101/ChangeDetection
变化检测的相关工作,一些复现代码和自己的工作
danyanliu/GIS_Modelling_Railway_Noise
Developed Python scripts to process data of building heights and calculate noise levels; Modelled the number of inhabitants in Delft suffering from railway viaduct noise in QGIS
OuYaMing/Image-classification-and-target-detection-by-pytorch
pytorch入门项目,包括线性回归、垃圾分类、水果目标检测、ssd
Xiaolong-RRL/CV-Pytorch-Classification
基于pytorch的CV入门教程(图像分类与目标检测)
chenyuntc/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
HuangDragon/HuangDragon.github.io
HuangDragon/Daniel
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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