Back to Search Start Over

Research on GF-6 Data Selection Technology for Fine Classification of Forest Land

Authors :
Deng Guang
Zhang Peng
Li Zhiyong
Tian xin
Source :
E3S Web of Conferences, Vol 131, p 01064 (2019)
Publication Year :
2019
Publisher :
EDP Sciences, 2019.

Abstract

GF-6 satellite is a kind of high-resolution satellites launched by China in recent years. Its sensors have the characteristics of multispectrals, wide field of view, high spatial resolution and high frequency imaging. In order to carry out fine identification of forest types, this paper proposes a method to improve data screening efficiency and data availability rate in GF-6 satellite data selection stage. This paper describes the selection process and key technical methods of GF-6 satellite data, and gives a verification program. It has been proved that the program meets the design objectives and can quickly scree out the required fast screening technologies in the face of massive data and large-area business applications, thus increasing the degree of automation and reducing the workload of manual visual selection.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
131
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.9f699b50eb433a8088e565ef2bc487
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/201913101064