HRSCD - High Resolution Semantic Change Detection Dataset

HRSCD - High Resolution Semantic Change Detection Dataset

Citation Author(s):
Rodrigo
Caye Daudt
ONERA / Télécom Paris
Bertrand
Le Saux
ESA
Alexandre
Boulch
Valeo.ai
Yann
Gousseau
Télécom Paris
Submitted by:
Rodrigo Daudt
Last updated:
Mon, 03/23/2020 - 05:33
DOI:
10.21227/azv7-ta17
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This dataset contains 291 coregistered image pairs of RGB aerial images from IGS's BD ORTHO database. Pixel-level change and land cover annotations are provided, generated by rasterizing Urban Atlas 2006, Urban Atlas 2012, and Urban Atlas Change 2006-2012 maps. 

Instructions: 

High Resolution Semantic Change Detection (HRSCD) Dataset

 

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Authors: 

Rodrigo Caye Daudt, rodrigo.daudt@onera.fr

Bertrand Le Saux, bls@ieee.org

Alexandre Boulch, alexandre.boulch@valeo.com

Yann Gousseau, yann.gousseau@telecom-paris.fr

 

================================================================================

About:

 

Dataset described in: 

Daudt, R.C., Le Saux, B., Boulch, A. and Gousseau, Y., 2019. Multitask learning for large-scale semantic change detection. Computer Vision and Image Understanding, 187, p.102783.

 

This dataset contains 291 coregistered image pairs of RGB aerial images from IGS's BD ORTHO database. Pixel-level change and land cover annotations are provided, generated by rasterizing Urban Atlas 2006, Urban Atlas 2012, and Urban Atlas Change 2006-2012 maps. 

 

The dataset is split into five parts:

    - 2006 images 

    - 2012 images

    - Change labels

    - 2006 land cover maps

    - 2012 land cover maps

 

The 2006 images are under a non-redistributable licence, but can be downloaded directly from IGN's website ( https://geoservices.ign.fr/documentation/diffusion/telechargement-donnee... or https://www.geoportail.gouv.fr/carte). The necessary files are:

    - BD ORTHO® 50 cm, D 14 - CALVADOS, 2005

    - BD ORTHO® 50 cm, D 35 - ILLE-ET-VILLAINE, 2006

For help with downloading the images please contact the authors.

 

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Labels:

 

Change labels are available for all image pairs in the dataset. Available classes:

    - 0: No change

    - 1: Change

 

Land cover maps are available for all images in the dataset. Urban Atlas classes have been grouped at first hierarchical level, as described in the paper cited above. Available classes:

    - 0: No information

    - 1: Artificial surfaces

    - 2: Agricultural areas

    - 3: Forests

    - 4: Wetlands

    - 5: Water

 

 

 

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Citation:

If you use this dataset for your work, please use the following citation:

 

@article{daudt2018hrscd,

title = "Multitask Learning for Large-scale Semantic Change Detection",

journal = "Computer Vision and Image Understanding",

volume = "187",

pages = "102783",

year = "2019",

issn = "1077-3142",

doi = "https://doi.org/10.1016/j.cviu.2019.07.003",

url = "http://www.sciencedirect.com/science/article/pii/S1077314219300992",

author = "Daudt, {Rodrigo Caye} and {Le Saux}, Bertrand and Boulch, Alexandre and Gousseau, Yann",

keywords = "Semantic change detection, High resolution Earth observation, Fully convolutional networks, Remote sensing, Multitask learning"

}

 

================================================================================

Copyright:

 

The images in this dataset are released under IGN's "licence ouverte". More information can be found at http://www.ign.fr/institut/activites/lign-lopen-data

 

The maps used to generate the labels in this dataset come from the Copernicus program, and as such are subject to the terms described here: https://land.copernicus.eu/local/urban-atlas/change-2006-2009?tab=metada...

 

This dataset is released under Creative-Commons BY-NC-SA licence. For commercial purposes, please contact the authors.

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[1] Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau, "HRSCD - High Resolution Semantic Change Detection Dataset", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/azv7-ta17. Accessed: Apr. 04, 2020.
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doi = {10.21227/azv7-ta17},
url = {http://dx.doi.org/10.21227/azv7-ta17},
author = {Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau },
publisher = {IEEE Dataport},
title = {HRSCD - High Resolution Semantic Change Detection Dataset},
year = {2020} }
TY - DATA
T1 - HRSCD - High Resolution Semantic Change Detection Dataset
AU - Rodrigo Caye Daudt; Bertrand Le Saux; Alexandre Boulch; Yann Gousseau
PY - 2020
PB - IEEE Dataport
UR - 10.21227/azv7-ta17
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Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau. (2020). HRSCD - High Resolution Semantic Change Detection Dataset. IEEE Dataport. http://dx.doi.org/10.21227/azv7-ta17
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau, 2020. HRSCD - High Resolution Semantic Change Detection Dataset. Available at: http://dx.doi.org/10.21227/azv7-ta17.
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau. (2020). "HRSCD - High Resolution Semantic Change Detection Dataset." Web.
1. Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau. HRSCD - High Resolution Semantic Change Detection Dataset [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/azv7-ta17
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau. "HRSCD - High Resolution Semantic Change Detection Dataset." doi: 10.21227/azv7-ta17