eprintid: 3583
rev_number: 11
eprint_status: archive
userid: 392
dir: disk0/00/00/35/83
datestamp: 2019-11-09 02:56:23
lastmod: 2019-11-09 02:56:23
status_changed: 2019-11-09 02:56:23
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Hoang Anh
creators_name: Luu, Viet Hung
creators_name: Phan, Anh
creators_name: Bui, Quang Hung
creators_name: Nguyen, Thi Nhat Thanh
creators_id: hunglv@fimo.edu.vn
creators_id: anhp@fimo.edu.vn
creators_id: hungbq@vnu.edu.vn
creators_id: thanhntn@vnu.edu.vn
title: Cau Giay: A Dataset for Very Dense Building Extraction from Google Earth Imagery
ispublished: pub
subjects: Aerospace
subjects: IT
divisions: FIMO
divisions: fac_fit
divisions: sae
abstract: One of the major topics in photogrammetry is the automated extraction of building from data acquired by airborne sensors. What makes this task challenging is the very heterogeneous appearance and dense distribution of buildings in urban areas. While many dataset have been established, none of them pay attention to developing cities where buildings are not well planned. To complement the development of building extraction algorithms, a dataset of high resolution satellite image is constructed in this paper covering Cau Giay district, Hanoi, Vietnam. The dataset consists of 2100 images of size 1024 x 1024 pixels extracted from Google Earth. Shape, size, and construction material differ greatly from building to building, thus make it challenging for state-of-the-art algorithm to accurately extract building location. Some baselines are provided using Convolutional Neural Networks (CNNs). Experimental results show that U-Net model trained with Mean Square Error loss is able to achieve comparable results (OA=92.04).
date: 2019-12
date_type: published
full_text_status: public
pres_type: paper
event_title: 6th NAFOSTED Conference on Information and Computer Science
event_location: Hanoi, Vietnam
event_dates: 12-13 December 2019
event_type: conference
refereed: FALSE
citation:   Nguyen, Hoang Anh and Luu, Viet Hung and Phan, Anh and Bui, Quang Hung and Nguyen, Thi Nhat Thanh  (2019) Cau Giay: A Dataset for Very Dense Building Extraction from Google Earth Imagery.  In: 6th NAFOSTED Conference on Information and Computer Science, 12-13 December 2019, Hanoi, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3583/1/NICS_Building.pdf