Images to Google Earth/OviMap User Guide

Software Introduction

Images to Google Earth/OviMap is a cross-platform image processing tool developed by WTSolutions that allows you to import photos with GPS information into Google Earth or OviMap. The software supports Windows, Mac, iOS, Linux, and Android systems, requiring no download or installation - it runs directly in your browser.

Key Features

  • Extract GPS information from photos
  • Generate KMZ files compatible with Google Earth/OviMap
  • Display photos at their captured locations on mapping software
  • Support batch processing of multiple photos
  • Advanced features (customize image display size, export GPS data to Excel, etc.)

How to Use

Basic Steps

  1. Access the online tool: https://s.wtsolutions.cn/gps.html
  2. Select map type (Google Earth or OviMap)
  3. Choose icon style (default, camera, circle, and more options available)
  4. Drag and drop photos to the designated area
  5. Wait for processing to complete, then download the generated KMZ file

Special Instructions for OviMap

When using OviMap, additional setup is required:

  • Provide the complete absolute path of images on your local system
  • Path format examples:
    • MacOS: file:///Users/wtsolutions/Pictures/
    • Windows: file:///E:/wtsolutions/
  • Note: Path must not contain special characters (*?"<>;/@&=+$,#)

Advanced Features

Advanced features require activation with a feature code, including:

  1. Unlimited batch processing (standard users limited to 6 photos)
  2. Customize image display size (between 20-3000 pixels)
  3. Export all photo GPS data to CSV file (Excel compatible)

Use Cases

  • Travel Photo Organization: Visualize travel photos on a map
  • Location Documentation: Record and share location-specific images
  • Photography Portfolio: Display photographs from different locations on a map
  • Geographic Data Collection: Collect and organize images with geographical information

Important Notes

  1. Ensure uploaded photos contain GPS information
  2. Set correct local image path when using OviMap
  3. Follow file path naming conventions, avoid special characters
  4. Recommended to use modern browsers to access the tool
通过短时倒谱(Cepstrogram)计算进行时-倒频分析研究(Matlab代码实现)内容概要:本文主要介绍了一项关于短时倒谱(Cepstrogram)计算在时-倒频分析中的研究,并提供了相应的Matlab代码实现。通过短时倒谱分析方法,能够有效提取信号在时间与倒频率域的特征,适用于语音、机械振动、生物医学等领域的信号处理与故障诊断。文中阐述了倒谱分析的基本原理、短时倒谱的计算流程及其在实际工程中的应用价值,展示了如何利用Matlab进行时-倒频图的可视化与分析,帮助研究人员深入理解非平稳信号的周期性成分与谐波结构。; 适合人群:具备一定信号处理基础,熟悉Matlab编程,从事电子信息、机械工程、生物医学或通信等相关领域科研工作的研究生、工程师及科研人员。; 使用场景及目标:①掌握倒谱分析与短时倒谱的基本理论及其与傅里叶变换的关系;②学习如何用Matlab实现Cepstrogram并应用于实际信号的周期性特征提取与故障诊断;③为语音识别、机械设备状态监测、振动信号分析等研究提供技术支持与方法参考; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,先理解倒谱的基本概念再逐步实现短时倒谱分析,注意参数设置如窗长、重叠率等对结果的影响,同时可将该方法与其他时频分析方法(如STFT、小波变换)进行对比,以提升对信号特征的理解能力。
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