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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 player design in Games === | |||
In this project, we will design AI algorithms (i.e., multi-agent reinforcement learning) for games (e.g., StarCraft: https://github.com/oxwhirl/smac). The main challenge here is to coordinate agents in achieving joint goals (i.e., win), such as by efficient communication. | |||
Please contact Dr. Tingting Yuan [tingting.yuan@cs.uni-goettingen.de] | |||