Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2012.030804 ◽

2012 ◽

Vol 3 (8) ◽

Author(s):

Kohei Arai

Keyword(s):

Monte Carlo ◽

Mixture Model ◽

Satellite Imagery ◽

Earth Observation ◽

Linear Mixture Model ◽

Earth Observation Satellite

Download Full-text

Monte Carlo Ray Tracing Based Non-Linear Mixture Model of Mixed Pixels in Earth Observation Satellite Imagery Data

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2013.040123 ◽

2013 ◽

Vol 4 (1) ◽

Author(s):

Kohei Arai

Keyword(s):

Monte Carlo ◽

Ray Tracing ◽

Mixture Model ◽

Satellite Imagery ◽

Earth Observation ◽

Mixed Pixels ◽

Linear Mixture Model ◽

Earth Observation Satellite ◽

Download Full-text

A multi-layer perceptron based non-linear mixture model to estimate class abundance from mixed pixels

IEEE Technology Students' Symposium ◽

10.1109/techsym.2011.5783815 ◽

2011 ◽

Author(s):

U Kumar ◽

S K Raja ◽

C Mukhopadhyay ◽

T V Ramachandra

Keyword(s):

Mixture Model ◽

Multi Layer Perceptron ◽

Mixed Pixels ◽

Linear Mixture Model

Download Full-text

Investigating the Potential of Common Earth Observation Satellite Imagery for Automated Multi-criteria Mapping of Urban Landscape at Municipal Level in South Africa

Southern Space Studies - Earth Observations and Geospatial Science in Service of Sustainable Development Goals ◽

10.1007/978-3-030-16016-6_15 ◽

2019 ◽

pp. 171-179

Author(s):

Guy Blanchard Ikokou ◽

Julian Smit

Keyword(s):

South Africa ◽

Satellite Imagery ◽

Urban Landscape ◽

Earth Observation ◽

Earth Observation Satellite ◽

Municipal Level

Download Full-text

Retrieving rangeland vegetation characteristics through constrained inverse reflectance modelling of earth observation satellite imagery

Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment ◽

10.1201/9780203875445-21 ◽

2009 ◽

pp. 231-246

Keyword(s):

Satellite Imagery ◽

Earth Observation ◽

Earth Observation Satellite ◽

Vegetation Characteristics

Download Full-text

Retrieving rangeland vegetation characteristics through constrained inverse reflectance modelling of earth observation satellite imagery

International Society for Photogrammetry and Remote Sensing (ISPRS) Book Series - Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment ◽

10.1201/9780203875445.ch14 ◽

2009 ◽

pp. 211-226

Author(s):

G Tsiourlis ◽

J Hill ◽

W Mehl ◽

A Röder

Keyword(s):

Satellite Imagery ◽

Earth Observation ◽

Earth Observation Satellite ◽

Vegetation Characteristics

Download Full-text

A Search Algorithm for Earth Observation Satellite Imagery Database which Allows Fuzzy Expression of Queries.

Journal of the Japan society of photogrammetry and remote sensing ◽

10.4287/jsprs.38.4_47 ◽

1999 ◽

Vol 38 (4) ◽

pp. 47-52

Author(s):

Kohei ARAI ◽

Hirofumi ETOH ◽

Tomoko NISHIYAMA

Keyword(s):

Satellite Imagery ◽

Search Algorithm ◽

Earth Observation ◽

Earth Observation Satellite

Download Full-text

A Speckle Noise Separation Algorithm Based on Non-linear Mixture Model

Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007) ◽

10.1109/icicic.2007.92 ◽

2007 ◽

Author(s):

Dahui Li ◽

Xuefeng Dai ◽

Yan Shi

Keyword(s):

Mixture Model ◽

Speckle Noise ◽

Separation Algorithm ◽

Linear Mixture Model

Download Full-text

Non-linear mixture model and application for enhanced resolution multispectral classification

1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications ◽

10.1109/igarss.1995.521174 ◽

2002 ◽

Author(s):

M.J. Carlotto

Keyword(s):

Mixture Model ◽

Enhanced Resolution ◽

Linear Mixture Model

Download Full-text

DETECTING LATENT TAXA: MONTE CARLO COMPARISON OF TAXOMETRIC, MIXTURE MODEL, AND CLUSTERING PROCEDURES

Psychological Reports ◽

10.2466/pr0.87.5.37-47 ◽

2000 ◽

Vol 87 (5) ◽

pp. 37 ◽

Author(s):

CHARLES M. CLELAND

Keyword(s):

Monte Carlo ◽

Download Full-text

True Model-Based Requirements (TMBR): Application to an Earth Observation Satellite

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-0094 ◽

2021 ◽

Author(s):

Paul Wach ◽

Alejandro Salado

Keyword(s):

Earth Observation ◽

Model Based ◽

Earth Observation Satellite

Download Full-text