537
edits
Theses and Projects: Difference between revisions
Jump to navigation
Jump to search
→* New! Convolutional neural networks and transfer learning for change estimation with satellite images
No edit summary |
|||
| Line 34: | Line 34: | ||
Satellite images are a popular input to estimate wealth measures (e.g. income or consumption) on the spatial scale, so to determine which locations are richer or poorer than others within a certain time interval. However, the use of these images for estimation of the changes in these measures over time for given locations is investigated only insufficiently. This project/thesis topic intends to address this problem by applying Convolutional Neural Networks (CNNs) with Transfer Learning on a small data set of images from villages in Thailand and Vietnam. Among other things, this topic contains experimental comparisons of different approaches and CNNs in both Regression and Classification. | Satellite images are a popular input to estimate wealth measures (e.g. income or consumption) on the spatial scale, so to determine which locations are richer or poorer than others within a certain time interval. However, the use of these images for estimation of the changes in these measures over time for given locations is investigated only insufficiently. This project/thesis topic intends to address this problem by applying Convolutional Neural Networks (CNNs) with Transfer Learning on a small data set of images from villages in Thailand and Vietnam. Among other things, this topic contains experimental comparisons of different approaches and CNNs in both Regression and Classification. | ||
Please contact Fabian Wölk [fabian.woelk@cs.uni-goettingen.de](B/M/P) | Please contact Fabian Wölk [fabian.woelk@cs.uni-goettingen.de](B/M/P) | ||
=== * '''New!''' AI for Games === | === * '''New!''' AI for Games === | ||