Dataset List

Vol.|Area

Oceanic region
Data Details

Dataset of Identifying Aircraft Groups by Remote Sensing Images


CHEN Junyu1,2LI Haiwei*1ZHANGGeng1WANG Shuang1CHEN Tieqiao1
1Xi’an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi’an 710119,China2University of Chinese Academy of Sciences,Beijing 100049,China

DOI:10.3974/geodb.2020.03.25.V1

Published:Jun. 2020

Visitors:133       Data Files Downloaded:6      
Data Downloaded:415.87 MB      Citations:

Key Words:

Classification of remote sensing images,dataset of aircraft classification,Google Earth,Attention Mechanism

Abstract:

The aircraft is a typical object in remote sensing images. The authors selected several airports around the world and 3594 airplane images based on the public datasets - DIOR, UCAS_AOD, NWPU VHR-10, DOTA and Google earth images. Then seven aircraft groups in terms of wings and propellers based on the attention mechanism were identified. Following, the fourteen sub-groups in terms of color of aircraft and engine position were recognized. Dataset of Identifying Aircraft Groups by Remote Sensing Images include: (1) Swept-back wing aircraft; (2) Swept-back aircraft with leading edge; (3) Forward-swept wing airplane with trailing edge; (4) Delta-wing aircraft; (5) Flat-wing aircraft; (6) Propeller aircraft; (7) Helicopter. The dataset is archived in .png data format, and consists of 3594 data files with data size of 69.3MB (compressed to one single file with 69.3MB).

Foundation Item:

Chinese Academy of Sciences (XAB2017B19)

Data Citation:

CHEN Junyu,LI Haiwei*,ZHANGGeng,WANG Shuang,CHEN Tieqiao.Dataset of Identifying Aircraft Groups by Remote Sensing Images[J].Global Change Data Repository,2020.DOI:10.3974/geodb.2020.03.25.V1.

Data Product:

ID Data Name Data Size Operation
1 OPT-Aircraft _v1.0.rar 70974.94KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum