CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge

Autor:	Delassus, Rémi, Giot, Romain
Rok vydání:	2018
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	This paper presents our contribution to the DeepGlobe Building Detection Challenge. We enhanced the SpaceNet Challenge winning solution by proposing a new fusion strategy based on a deep combiner using segmentation both results of different CNN and input data to segment. Segmentation results for all cities have been significantly improved (between 1% improvement over the baseline for the smallest one to more than 7% for the largest one). The separation of adjacent buildings should be the next enhancement made to the solution.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1809.10976 Zobrazit plný text záznamu View this record from Arxiv