资源列表
MatlabAUC-master (1)
- As mentioned before, the feature fusion is an efficient step in scene understanding. We proposed to combine between the outputs of CNN algorithm, where the final features can effectively represent the scene images
prec_rec (1)
- We employ the pretrained deep CNN models for VHR images scene classification, where we used VGG-Net as the feature extractor by selecting useful layers in order to get a good representation of the images scene.
发给各中心通知
- CNN is one of the most successful deep learning methods due to its remarkable performance on ImageNet large-scale visual recognition competition. The success of CNN is due to its capacity to learn hierarchical representation to describe the image
sp_pagwf
- a hybrid deep convolutional neural network (CNN) for vehicle detection from satellite images. And the research in [13] introduced the stacked autoencoder to extract spatial informative features for hyperspectral images classification.
udp client server
- UDP 通讯，包含客户端和服务端程序，亲测可用，需配置ip端口(UDP communication, including client and server-side program, protest available and configure the IP port)
NKYQL
- Java多线程设计模式源码,介绍java的多线程编程的最好方式()
build-grelh-poocessor
- java学习备忘录 Java学习备忘录基础语法和数组,原创()
PL2303_Prolific_DriverInstaller_v130
- Driver installazione Prolific PL2303
wap
- wap网游 江湖传说源码 完整使用加说明文档(The source code of WAP online swimming)
Raman_sensing
- vpi photonics file for raman scattering
ERA
- 模态参数识别。特征实现算法era，输入响应信号，输出模态参数(Modal parameter identification)
Raman_sensingsweeps
- raman scattering sweep vpi file