分享给朋友：通用代码: <input id="link4" type="text" class="form_input form_input_s" value="" />复 制flash地址: 复 制html代码: <input type="text" class="form_input form_input_s" id="link3" value="" />复 制分享视频到站外获取收益&&手机扫码分享视频二维码2小时内有效【makeflyeasy】Pix4D研讨会20-使用Pix4Dmapper 输出到GIS，CAD等软件下载至电脑扫码用手机看用或微信扫码在手机上继续观看二维码2小时内有效【makeflyeasy】Pix4D研讨会20-使用Pix4Dmapper 输出到GIS，CAD等软件扫码用手机继续看用或微信扫码在手机上继续观看二维码2小时内有效，扫码后可分享给好友没有优酷APP？立即下载请根据您的设备选择下载版本
药品服务许可证(京)-经营- 节目制作经营许可证京字670号 请使用者仔细阅读优酷、、Copyright(C)2017 优酷
版权所有不良信息举报电话:Pix4Dmapper教程_文档下载
亿万文档 免费下载
当前位置： &
& Pix4Dmapper教程
Pix4Dmapper教程
pix4dmapper初级教程
中云图Pix4Dmapper简易作业手册
1 作业流程图 ........................................................................................................................... 2
2 原始资料准备 ....................................................................................................................... 2
3 建立工程并导入数据 ........................................................................................................... 3
3.1. 建立工程 ................................................................................................................... 3
3.2. 加入影像 ................................................................................................................... 3
3.3. 设置影像属性 ........................................................................................................... 4
4 快速处理检查（可选） ....................................................................................................... 5
5 加入控制点 ........................................................................................................................... 6
5.1 方法1：使用像控点编辑器加入控制点 ................................................................. 6
5.2 方法2：在空三射线编辑器中刺出控制点。 ......................................................... 7
5.3 方法3：在空三射线编辑器中使用预测控制点功能标记控制点。 ..................... 9
6 全自动处理 ......................................................................................................................... 11
6.1 初始化设置 .............................................................................................................. 11
6.2 点云加密 .................................................................................................................. 12
6.3 数字表面模型及正射影像生成 .............................................................................. 13
7 质量报告分析 ..................................................................................................................... 15
7.1 区域网空三误差 ..................................................................................................... 15
7.2 相机自检校误差 ..................................................................................................... 15
7.3 控制点误差 ............................................................................................................. 15
8 点云以及正射影像编辑输出 ............................................................................................. 16
8.1 编辑点云数据，成果可直接输出 .................................................................................. 16
8.2 编辑正射影像 .................................................................................................................. 16
9 常见问题 ............................................................................................................................. 18
9.1 出低精度快拼影像 .................................................................................................. 18
9.2 多个工程融合 .......................................................................................................... 18
9.3 区域输出成果 .......................................................................................................... 19
9.4 项目路径文件结构 .................................................................................................. 21
Word文档免费下载： （下载1-22页，共22页）
1.1、网页下载流程 (1)进入 Pix4Dmapper 软件官方网站:/点击“LOGIN” ,进入 登录界面: (2)填写“用户名” 、 “密码”登录下载区 北京...22 中海达 Pix4Dmapper 作业手册 1 作业流程图导入的数据包括图像、 POS、控制点 自动完成空三,生成 DSM、DOM 获取原始资料 建立测区 导入数据 全自动处理 结果...8 1 中海达 Pix4Dmapper 作业手册 1 作业流程图导入的数据包括图像、 POS、控制点 自动处理,生成点云 获取原始资料 建立测区 导入数据 全自动处理 结果分析 2 ...Pix4dMapper(Pix4UAV 的升级版)城市规划与三维重建 Pix4dMapper(Pix4UAV 的升级版)是一个集全自动、 快速、 专业精度位一体的无人机数据 和航空影像处理软件。 ...Pix4dMapper(Pix4UAV的升级版)房子重建_计算机软件及应用_IT/计算机_专业资料。Pix4dMapper为Pix4UAV的升级版,他是一个集全自动,快速,专业,高精度于一体的无人机...全自动、一键化--PIX4D mapper 无需 IMU,只需影像的 GPS 位置信息,即可 全自动一键操作,不需要人为交互处理无人机数据。原生 64 位软件,能大大提 高处理速度...质量报告示例_表格类模板_表格/模板_实用文档。Quality Report Generated with Pix4Dmapper Discovery version 2.0.81 Important: Click on the differen ...Pix4dMapper ( Pix4d Mapper ) (Pix4UAV 的升级版)城市规划与三维重建 Pix4dMapper Pix4d Mapper (Pix4UAV 的升级版)是一个集全自动、快速、专业精度位一 体...PIX4D 空三成果引入流程 1、 PIX4D 生成的 EO 文件格式整理,以及所需要的影像整理 首先是后缀改为*. 其次是内容更改如图示: 其次影像的名称也要更改,影像...Quality Report Generated with Pix4Dmapper Discovery version 2.0.81 Important: Click on the different icons for: Help to analyze the results in the Quality...mybatis中文版教程_IT/计算机_专业资料。简单易懂的mybatis教程 MyBatis Spring 1...{ return this.userMapper.getUser(userId); } } 注意,在这段代码中没有 ...PIX4D 空三成果引入流程 1、 PIX4D 生成的 EO 文件格式整理,以及所需要的影像整理 首先是后缀改为*. 其次是内容更改如图示: 其次影像的名称也要更改,影像...5838人阅读
pix4d学习笔记（1）
关键词：pix4d &教程 &无人机 &航测
======作者信息======
作者：riddle
业余爱好无人机及各种打杂事项，飞控漫谈交流社群&知控制微信公众平台维护，如有无人机及周边开源公益及合作事宜请联系本人。
联系方式：riddle911(
文章转载请注明来源。
===================
pix4d是现下应用较为流行的一款快拼软件，此篇文章翻译部分知识点，供本人学习，也可作为新手入门，另外，本人非测绘专业从业人员，翻译难免有错误之处，还请各位专业人士指出。本人无法保证翻译文章的及时更新，最新内容及更多操作帮助以pix4d官网为主。
Images should not contain any symbols such as time and date stamps. Images that contain such symbols cannot be processed.
Images should not be edited manually, i.e. do not scale, rotate, etc. the images.
Do not use images taken during take-off or landing.
2.&On the&Select
Images&pop-up, navigate to select the folder where the images are stored,
select the images to import (it is possible to&select&multiple images), and click&Open.
Images can be imported as *.jpg, *.jpeg, *.tif, or *.tiff. By default all supported image formats can be selected. To filter images according
to their format change the input format to&JPEG images (*.jpg,*.jpeg)&or
to&TIFF images (*.tif, *.tiff).
It is possible to select images stored in different folders. Once images are imported from one folder, click&Add
images&again&to add more images from another folder.
The software consider the&Date
Taken&field of the Exif to set up the order in which the images are taken.
4. (Optional) It is possible to remove images by selecting them on the images list (use
Ctrl&#43;click or Shift&#43;click for multiple selection) and clicking&Remove
5. (Optional) It is possible to clear the list of images that have been added by
clicking&Clear List.
6. Click&Next.
Project&wizard displays the&Image
Properties&window which contains 4 sections:
Image Coordinate System:
Selects the&coordinate&system on which the images' geolocation is based.
Geolocation&and Orientation:
Imports/exports the&coordinates and, optionally, the orientation of the images and/or the accuracy of the coordinates.
Selected Camera Model:
Selects the camera model of the images.
Images table:
Displays the selected images, as well as each image's group,&position, position accuracy, orientation, and if the image is enabled or not (an enabled image will be taken into account for processing).
3&optional steps to follow before clicking&Next:
Coordinate System, click&Edit...&if
the images' geolocation is given in another coordinate system than WGS84 (default).
For&more&information&and
step by step instructions about how to select/change the Image Coordinate System:&.
Imports the&Geolocation
and Orientation of the images. If the geolocation (position) information is stored in the images' EXIF data, it will be automatically loaded.
For&more&information&and
step by step instructions about how to select/change the Image&Geolocation and Orientation:&.
The software consider the&Date
Taken&field of the Exif to set up the order in which the images are taken.
The step 1 is faster for projects where the images are geolocated and in case of not sufficient overlap, helps calibrating the images.&
A camera model
needs to be defined for each image&in order to run a Pix4Dmapper project. The parameters of this model depend on the camera that captures the image. Most cameras save the name of the camera in the metadata of the image in EXIF format. Camera models are identified
by a name taken from the image EXIF data, if it has EXIF data. This name is called&EXIF
ID&and is used to associate a given camera model to all the images with the
same EXIF ID.&
The&Camera
Model&section, on the&Image
properties window&displays the selected camera model. The camera model can
A green check is displayed if the camera model is valid. A camera model is valid if it already exists in Pix4Dmapper's camera model database or if there is sufficient information in the EXIF data of the images to create a new camera model that will be saved
into the user camera model database. If the camera model is retrieved from the EXIF data, it is recommended to check the camera model parameters and, if needed, to edit them.&
A red cross is displayed if the camera model is not valid. A camera model is invalid if it is not in Pix4Dmapper's camera model database and if there is not enough information in the EXIF data of the images. In this case the camera model needs to be defined
by editing it.
For more information
and step by step instructions about how to edit the camera model:&.
Note:&Grouping
the images:
When the project contains images with different spectral signatures (RGB, NIRGB, etc) usually the images are grouped automatically, in case
that they are not grouped by default, group them manually following:&.
In this case different orthomosaics are generated, one orthomosaic per group that can be used for Index calculations.
Once the items
above are configured:
1. Click&Next.
2. Click&Finish&to
finish the wizard and start the project.
1. On the Menu bar, click&Process&&
Local Processing.
4. Click&Start.
Important:
For a detailed description about how to analyze the Quality Report:&.
For a detailed description about any parameter described in the Quality Report:&.
Example of a Quality Report available at the following link:&.
Check&reduces the resolution of the original images to 1MP. Therefore it
is faster, but it lowers the global accuracy and may lead to incomplete results. Indeed, when the image size is lower, the number of keypoints extracted on each images is also lower, which leads to a lower number of matches between the images. If the number
of matches is lower, the quality of the reconstruction might be lower as well. Once the&Initial
Processing&is finished, the automatically generated quality report pops up.
Check the&Quality
Report&after&Initial
Processing. If the reconstruction is not good enough or fails then the same
may happen with the&Full Processing.
Main points to check:
Processing Failed:&If
the processing failed run the project in Full Processing&mode
and analyze the report. As the&Rapid Check&reduces
the image size and thus lowers the number of keypoints, an unsufficient number of keypoints could be a cause of failure.
Processing Finished:
Quality Check, Dataset:&All
the images that are calibrated when using the&Rapid Check&will
be calibrated when running&Full Processing.
Therefore it is important to verify that all or almost all the images are calibrated. If not, this may indicate an issue with the images acquisition plan (not enough overlap), or that the image quality might not be good enough (e.g. blurry images).
Quality Check, Camera Optimization:&The
relative difference between the initial and optimized camera parameters should ideally be below 5%. If not, check that the right camera model is used. If the right camera model is used, change the camera's initial values to the optimized values following&&and
reprocess.
1. Selecting the Orthomosaic and/or Point Cloud Densification Area (optional)
In order to change the&Orthomosaic Area, follow:&.
In order to change the Point Cloud Densification Area, follow:&.
2. Changing the Process Options (optional)
Initial Processing
Camera Internals and Externals, ATT, BBA.&
Automatic Tie points
Quality Report
Point Cloud Densification
Point Cloud
3D Textured Mesh
Quality Report
DSM and Orthomosaic Generation
Raster DSM
Orthomosaic
Adding GCPs (optional)
Warning:&&HIGHLY
RECOMMENDED&
The final results have no scale, orientation, and absolute position information. Therefore they cannot be used for measurements, overlay,
and comparison with previous results.
They may produce an&inverted&3D model in the rayCloud.&
The final 3D model may present some shift (this problem can be corrected using Manual Tie Points:&).
For step by step instructions about how to include GCPs in the project:&.
& Local Processing.
Processing&
4. Click&Start.
For more information about the outputs resulting from&1.
Initial Processing:&.
To process the Point Cloud Densification step:
1. Open the&Local
processing&sidebar&by clicking&Process
& Local Processing.
2. Ensure that&2.
Point Cloud Densification&is selected,&and that&1.
Initial Processing&&and&3.
DSM and Orthomosaic Generation&are unselected.
default, only the Densified Point cloud is generated in .las format. In order to generate more outputs (Point Cloud Classification: Terrain and Objects, 3D Textured Mesh) or the Densified Point cloud in more formats (.laz, .ply, .xyz), change the processing
options for&Point Cloud:&.
3. Click&Start.
For more information
about the outputs resulting from&2. Point Cloud Densification:&
To process the&DSM
and Orthomosaic Generation&step:
processingProcess
& Local Processing.3.
DSM and Orthomosaic Generation&1.
Initial Processing,2.
Point Cloud Densification3.&DSM
and Orthomosaic Generation&Resolution&&Initial
Processing)&
default, only the Raster DSM (2.5D no color) in .tif format and a transparent Orthomosaic in .tif format are generated. In order to generate more outputs (Grid DSM (2.5D), Google Maps Tiles and KML, Mapbox Tiles, Reflectance Map) or the not transparent Orthomosaic
in .tif format, change the processing options for&DSM and Orthomosaic:&.
By default the contour lines are not generated. In order to generate contour lines,
select the desired output format files in the processing options forAdditional
Outputs:&.
4. Click&Start.
===========================================================================
帮一众开发牛人维护一个无人机开发的交流社群，欢迎各位关注我们的微信公众号。
参考知识库
* 以上用户言论只代表其个人观点，不代表CSDN网站的观点或立场
访问：10299次
排名：千里之外
(1)(1)(2)(2)(1)(1)(1)}