Using colour, texture, and hierarchial segmentation for high-resolution remote sensing

Autor: Roger Trias-Sanz, Georges Stamon, Jean Louchet

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 63:156-168

Image segmentation can be performed on raw radiometric data, but also on transformed colour spaces, or, for high-resolution images, on textural features. We review several existing colour space transformations and textural features, and investigate w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bde1a5b647ae672bac1695e548946ffe
https://doi.org/10.1016/j.isprsjprs.2007.08.005

A High-Reliability, High-Resolution Method for Land Cover Classification Into Forest and Non-forest

Autor: Didier Boldo, Roger Trias-Sanz

Publikováno v: Image Analysis ISBN: 9783540263203
SCIA

We present several methods for per-region land-cover classification based on distances on probability distributions and whole-region probabilities. We present results on using this method for locating forest areas in high-resolution aerial images wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::75060a4b07eeb31356977e66f090e61c
https://doi.org/10.1007/11499145_84

Automatic bridge detection in high-resolution satellite images

Autor: Nicolas Loménie, Roger Trias-Sanz

Publikováno v: ICCVS'03
Apr 2003, pp.172-181
Lecture Notes in Computer Science ISBN: 9783540009214
ICVS
Apr 2003, Springer, pp.172-181, 2003
Scopus-Elsevier

International audience; A set of methodologies and techniques for automatic detection of bridges in pan-chromatic, high-resolution satellite images is presented. These methods rely on (a) radiometric features and neural networks to classify each pixe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f551347e4d2536f182d9929599ce7fb9
https://hal.archives-ouvertes.fr/hal-00136303/file/document.pdf