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A subpixel mapping algorithm combining pixel-level and subpixel-level spatial dependences with binary integer programming

Author
YUEHONG CHEN1 2 ; YONG GE1 ; QUNMING WANG3 ; YU JIANG1 2
[1] The State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
[2] University of Chinese Academy of Sciences, Beijing 100049, China
[3] Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong-Kong
Source

Remote sensing letters (Print). 2014, Vol 5, Num 10-12, pp 902-911, 10 p ; ref : 3/4 p

ISSN
2150-704X
Scientific domain
Agronomy, agriculture, phytopathology; Ecology; Geophysics; Climatology, meteorology; Oceanography
Publisher
Taylor & Francis, Abingdon
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Algorithme Distribution spatiale Modèle Méthodologie Occupation sol Optimisation Pixel Précision Télédétection spatiale Télédétection
Keyword (en)
algorithms spatial distribution models methodology land cover optimization Pixel accuracy Space remote sensing remote sensing
Keyword (es)
Algoritmo Distribución espacial Modelo Metodología Optimización Pixel Precisión Teledetección espacial Detección a distancia
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
29086499

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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