Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis

Autor: Deise Santana Maia, Minh-Tan Pham, Sebastien Lefevre

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2574-2591 (2022)

In this article, we develop a novel feature extraction method that combines two well-established mathematical morphology concepts: watersheds and morphological attribute profiles (APs). In order to extract spatial-spectral features from remote sensin

Externí odkaz: https://doaj.org/article/2e0bcbf601db4a33820c43afc9c7e181

Classification of Remote Sensing Data With Morphological Attribute Profiles: A decade of advances

Autor: Minh-Tan Pham, Deise Santana Maia, Sébastien Lefèvre, Florent Guiotte, Erchan Aptoula

Publikováno v: IEEE geoscience and remote sensing magazine
IEEE geoscience and remote sensing magazine, IEEE, 2021, 9 (3), pp.43-71. ⟨10.1109/MGRS.2021.3051859⟩
IEEE geoscience and remote sensing magazine, 2021, 9 (3), pp.43-71. ⟨10.1109/MGRS.2021.3051859⟩

International audience; Morphological attribute profiles (APs) are among the most prominent methods for the spatial-spectral pixel analysis of remote sensing images. ince their introduction a decade ago to tackle land-cover classification, many studi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a0a7fdc1069441051cdd059b8bc3261
https://doi.org/10.1109/mgrs.2021.3051859

Watershed-based attribute profiles for pixel classification of remote sensing data

Autor: Sébastien Lefèvre, Minh-Tan Pham, Deise Santana Maia

Publikováno v: DGMM 2021-IAPR International Conference on Discrete Geometry and Mathematical Morphology
DGMM 2021-IAPR International Conference on Discrete Geometry and Mathematical Morphology, May 2021, Uppsala / Virtual, Sweden
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM

International audience; We combine two well-established mathematical morphology notions: watershed segmentation and morphological attribute profile (AP), a multilevel feature extraction method commonly applied to the analysis of remote sensing images

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c3dc73f51d5073be31a8359f414657a
https://hal.archives-ouvertes.fr/hal-03199313/file/DGMM_Paper___Watershed_based_attribute_profile___Final_version__corrected_.pdf

Recognizing hierarchical watersheds

Autor: Laurent Najman, Jean Cousty, Deise Santana Maia, Benjamin Perret

Publikováno v: Lecture Notes in Computer Science
DGCI2019
DGCI2019, Mar 2019, Noisy-le-grand, France. pp.300-313, ⟨10.1007/978-3-030-14085-4_24⟩
Discrete Geometry for Computer Imagery ISBN: 9783030140847
DGCI

International audience; Combining hierarchical watersheds has proven to be a good alternative method to outperform individual hierarchical watersheds. Consequently, this raises the question of whether the resulting combinations are hierarchical water

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8407e980f23cd95c4c317804d1b01502
https://hal.archives-ouvertes.fr/hal-01948502

Watersheding Hierarchies

Autor: Deise Santana Maia, Jean Cousty, Laurent Najman, Benjamin Perret

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030208660
International Symposium on Mathematical Morphology
International Symposium on Mathematical Morphology, Jul 2019, Saarbrücken, Germany. ⟨10.1007/978-3-030-20867-7_10⟩

International audience; The computation of hierarchies of partitions from the watershed transform is a well-established segmentation technique in mathematical morphology. In this article, we introduce the watersheding operator , which maps any hierar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11c276ab9db56dbe2cfe9a708ca45929
https://doi.org/10.1007/978-3-030-20867-7_10