A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

Autor: Martino Pesaresi, Guo Huadong, Xavier Blaes, Daniele Ehrlich, Stefano Ferri, Lionel Gueguen, Matina Halkia, Mayeul Kauffmann, Thomas Kemper, Linlin Lu, Mario A. Marin-Herrera, Georgios K. Ouzounis, Marco Scavazzon, Pierre Soille, Vasileios Syrris, Luigi Zanchetta

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 6, Iss 5, Pp 2102-2131 (2013)

A general framework for processing high and very-high resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test in

Externí odkaz: https://doaj.org/article/ead5c0d41bbd4c14ab3a62b0ed2ddc12

Very High Spatial Resolution Optical Imagery: Tree-Based Methods and Multi-temporal Models for Mining and Analysis

Autor: Fabio Pacifici, Georgios K. Ouzounis, Lionel Gueguen, William J. Emery, Giovanni B. Marchisio

Publikováno v: Mathematical Models for Remote Sensing Image Processing ISBN: 9783319663289

This chapter presents a selection of image representation methods for very high spatial resolution optical data acquired by agile satellite platforms. Each method aims at specific properties of the image information content and can be tailored to add

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b34eb5d3d5ab396385e4b5fc16aa2e3
https://doi.org/10.1007/978-3-319-66330-2_3

Multiscale quality assessment of Global Human Settlement Layer scenes against reference data using statistical learning

Autor: Vasileios Syrris, Georgios K. Ouzounis, Martino Pesaresi

Publikováno v: Pattern Recognition Letters. 34:1636-1647

A method for quality assessment of the Global Human Settlement Layer scenes against reference data is presented. It relies on two settlement metrics; the local average and gradient functions that quantify the notions of settlement density and flexibl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28119f347b3dd99ebd9daf582b591b03
https://doi.org/10.1016/j.patrec.2013.04.004

Differential Area Profiles: Decomposition Properties and Efficient Computation

Autor: Pierre Soille, Martino Pesaresi, Georgios K. Ouzounis

Publikováno v: IEEE Transactions on Pattern Analysis and Machine Intelligence. 34:1533-1548

Differential area profiles (DAPs) are point-based multiscale descriptors used in pattern analysis and image segmentation. They are defined through sets of size-based connected morphological filters that constitute a joint area opening top-hat and are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3a7b026126223becba5858a497e8100
https://doi.org/10.1109/tpami.2011.245

An Efficient Parallel Algorithm for Multi-Scale Analysis of Connected Components in Gigapixel Images

Autor: Michael H. F. Wilkinson, Georgios K. Ouzounis, Martino Pesaresi

Publikováno v: ISPRS International Journal of Geo-Information; Volume 5; Issue 3; Pages: 22
ISPRS International Journal of Geo-Information, 5(3). MDPI AG

Differential Morphological Profiles (DMPs) and their generalized Differential Attribute Profiles (DAPs) are spatial signatures used in the classification of earth observation data. The Characteristic-Salience-Leveling (CSL) is a model allowing the co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dfeb63c0f3f7594ae04044174db919a
https://research.rug.nl/en/publications/3166e25a-fd87-4d2d-b3e0-8bd4ba371e87