TY - GEN
T1 - Road Extraction Assisted Offset Regression Method in Cross-view Image- based Geo-localization
AU - Hou, Yuxuan
AU - Yang, Yi
AU - Wang, Junbo
AU - Fu, Mengyin
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Cross-view image-based geo-localization aims to determine the location of ground-view images in satellite images. Most researches regard it as image retrieval problem. However, they don't provide exact location. In this paper, we consider it as a regression problem: given a ground-view image and satellite image, a siamese network finds the location offset between them. The proposed siamese network with fully connected layers can get the offset of satellite center with a ground-view image. Meanwhile, by training road extraction with Dice and Binary Cross Entropy loss, the network can perceive road location and get more accurate result. The experiment of our method gets 16.50 meters mean distance error, 28% less than VIGOR [1] on its dataset.
AB - Cross-view image-based geo-localization aims to determine the location of ground-view images in satellite images. Most researches regard it as image retrieval problem. However, they don't provide exact location. In this paper, we consider it as a regression problem: given a ground-view image and satellite image, a siamese network finds the location offset between them. The proposed siamese network with fully connected layers can get the offset of satellite center with a ground-view image. Meanwhile, by training road extraction with Dice and Binary Cross Entropy loss, the network can perceive road location and get more accurate result. The experiment of our method gets 16.50 meters mean distance error, 28% less than VIGOR [1] on its dataset.
UR - http://www.scopus.com/inward/record.url?scp=85141824344&partnerID=8YFLogxK
U2 - 10.1109/ITSC55140.2022.9921859
DO - 10.1109/ITSC55140.2022.9921859
M3 - Conference contribution
AN - SCOPUS:85141824344
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 2934
EP - 2940
BT - 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Y2 - 8 October 2022 through 12 October 2022
ER -