Road_extraction 使用多GPU模型张量流的Attention Unet和Deep Unet实现道路提取 Deep U-Net的多种变体已经过额外的层和额外的卷积测试。 尽管如此，优于所有人的模型是Attention U-Net：学习在哪里寻找胰腺。 我添加了一个额外的调整来提高性能，将卷积块切换为残差块 TensorFlow分割 TF细分模型，U-Net，Attention Unet，Deep U-Net（U-Net的所有变体） 使用神经网络（NN）进行图像分割，旨在从遥感影像中提取道路网络，它可用于其他应用中，标记图像中的每个像素（语义分割） 可以在以下论文中找到详细信息： 注意U-Net附加模块 要求 Python 3.6 CUDA 10.0 TensorFlow 1.9 Keras 2.0 模组 utils.py和helper.py函数用于预处理数据并保存。

Automatic human body feature extraction and personal size measurement

A study for texture feature extraction of high-resolution satellite images based on a direction measure and gray level co-occurrence matrix fusion algorithm

We present a new edge-preserving image smoothing approach by incorporating local features into a holistic optimization framework. Our method embodies a gradient constraint to enforce detail eliminating and an intensity constraint to achieve shape maintaining. The gradients of high-contrast details are suppressed to a lower magnitude, subsequent to which structural edges can be located. The intensities of a small region are regulated to resemble the initial fabric, which facilitates further detai

CustomCut: On-demand extraction of customized 3D parts with 2D sketches

Internal motions in femtosecond soliton molecules provide insight into universal collective dynamics in various nonlinear systems. Here we introduce an orbital-angular-momentum (OAM)-resolved method that maps the relative phase motion within a femtosecond soliton molecule into the rotational movemen

应用分子印记固相萃取法结合高效液相色谱测定池塘水及三种鱼肉中磺胺甲基嘧啶含量，郭琳媛，姜晓满，本文合成并评价了一种作为固相萃取材料的分子印记聚合物，并结合高效液相色谱，有效测定了池塘水及三种鱼肉中磺胺甲基嘧啶的含量

subpixel-precise extraction of lines and edges.pdf

特征提取的各种基础和先进方法,具有重要的参考价值,可用在图像处理/模式识别等各个领域.

matblab平台编写的N-FINDR算法提取遥感卫星影像的纯净像元（端元）。