@inproceedings{24669fcfa3ba40ac90c2d3f2b4e53692,
title = "Detect Geographical Location by Multi-View Scene Matching",
abstract = "With the help of satellite geographical information, we present an innovative framework for localizing precisely while handling the varying views and different sources. We construct a convolutional neural network named Attentive Siamese-like Net (ASN) which can extract the multi-view scene representation. On top of it, a database retrieval system is established to search the realistic geographic coordinates quickly and reliably. For handling a complicated scene, a mass of visual data is collected from google satellite image and Google Earth Software. Experiments are carried out on two datasets of different scales and geographical range, which shows the superiority and effectiveness of our method.",
keywords = "multi-view scene, Satellite location, siamese network, visual-based Geo-Localization",
author = "Chen Liu and Yuan Yuan and Ganchao Liu",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "26",
doi = "10.1109/IGARSS39084.2020.9323168",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6467--6470",
booktitle = "2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings",
}