Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates

Autor: Jérôme Colin, Olivier Hagolle, Lucas Landier, Sophie Coustance, Peter Kettig, Aimé Meygret, Julien Osman, Eric Vermote

Publikováno v: Remote Sensing, Vol 15, Iss 10, p 2665 (2023)

The correction of atmospheric effects on optical remote sensing products is an essential component of Analysis Ready Data (ARD) production lines. The MAJA processor aims at providing accurate time series of surface reflectances over land for satellit

Externí odkaz: https://doaj.org/article/7a75de0eb6564c378024b2024554b253

Assessment of a Markov logic model of crop rotations for early crop mapping

Autor: Julien Osman, Jean-François Dejoux, Jordi Inglada

Publikováno v: Computers and Electronics in Agriculture
Computers and Electronics in Agriculture, Elsevier, 2015, 113, pp.02.015. ⟨10.1016/j.compag.2015.02.015⟩
Computers and Electronics in Agriculture, 2015, 113, pp.02.015. ⟨10.1016/j.compag.2015.02.015⟩

A prediction model for crop rotations is proposed.The model uses machine learning techniques applied to historic data.It allows the introduction of expert knowledge without re-learning from data.The model is assessed on real data over several years a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c65add3db6f4d0bcb9cca75d875df66
https://doi.org/10.1016/j.compag.2015.02.015

Fusion of multi-temporal high resolution optical image series and crop rotation information for land-cover map production

Autor: Julien Osman, Jean-François Dejoux, Jordi Inglada, Olivier Hagolle, Gérard Dedieu

Publikováno v: IGARSS

The generation of land-cover maps for agriculture is a recurrent problem in remote sensing. There exist many efficient algorithms, but they often need well selected images during specific periods, which delays the map availability to the end of the s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::462a3f9e7d90e36198a77a4c9d67dd5d
https://doi.org/10.1109/igarss.2012.6352606

Interactive object segmentation in high resolution satellite images

Autor: E. Christophe, Julien Osman, Jordi Inglada

Publikováno v: IGARSS (5)

High resolution remote sensing image segmentation is a great challenge in terms of potential applications, but also because of the difficulty of the task. Fully automatic algorithms are not able to extract all the desired features from complex images

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7794fa17975f21eba2f89d8a25d5fad
https://doi.org/10.1109/igarss.2009.5417735