Predicting Fine-grained Regional Economic data based on CV: Difference between revisions
Jump to navigation
Jump to search
(Created page with "== Details == {{Project Description |supervisor=[http://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding],Please contact sding@gwdg.de or scdingwork@gmail....") |
|||
| Line 7: | Line 7: | ||
}} | }} | ||
Title: '''Predicting Fine-grained Regional Economic data based on Satellite Image''' （基于卫星图像的细粒度地区经济数据预测） | New Title: '''Predicting Fine-grained Regional Economic data based on Satellite Image''' （基于卫星图像的细粒度地区经济数据预测） | ||
Almost the same as Title '''Predicting Fine-grained Regional Economic data based on multiple data sources''' | Almost the same as Title '''Predicting Fine-grained Regional Economic data based on multiple data sources''' | ||
| Line 13: | Line 13: | ||
The difference: besides the data type mentioned in last Title, there are image data types like NightEarth and satellite maps, they can also be used to predict Fine-grained Regional Economic data. | The difference: besides the data type mentioned in last Title, there are image data types like NightEarth and satellite maps, they can also be used to predict Fine-grained Regional Economic data. | ||
Requirements: Convolutional Neural Network, (CNN knowledge), better if have CV project experience | Requirements: Convolutional Neural Network, ('''CNN''' knowledge), better if have CV project experience | ||
The work is predominantly targeted at an approximately 3-month student project, but can be extended into a Master's thesis as well. | The work is predominantly targeted at an approximately 3-month student project, but can be extended into a Master's thesis as well. | ||
Latest revision as of 14:00, 25 March 2019
Details
| Supervisor: | Shichang Ding,Please contact sding@gwdg.de or scdingwork@gmail.com |
| Duration: | 3 MONTH |
| Type: | Student Project (plus potential Master's thesis) |
| Status: | open |
New Title: Predicting Fine-grained Regional Economic data based on Satellite Image （基于卫星图像的细粒度地区经济数据预测）
Almost the same as Title Predicting Fine-grained Regional Economic data based on multiple data sources
The difference: besides the data type mentioned in last Title, there are image data types like NightEarth and satellite maps, they can also be used to predict Fine-grained Regional Economic data.
Requirements: Convolutional Neural Network, (CNN knowledge), better if have CV project experience
The work is predominantly targeted at an approximately 3-month student project, but can be extended into a Master's thesis as well.