Interactive Segmentation for Shape From Shading Over HR SAR Images

Franco Marchesoni-Acland; Marie d'Autume; Gabriele Facciolo; Carlo de Franchis; Jean-Michel Morel; Enric Meinhardt-Llopis

doi:10.1109/IGARSS46834.2022.9884193

Interactive Segmentation for Shape From Shading Over HR SAR Images

Franco Marchesoni-Acland, Marie d'Autume, Gabriele Facciolo, Carlo de Franchis, Jean-Michel Morel, Enric Meinhardt-Llopis

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to a segmentation of the heaps. To get a fast and accurate 3D reconstruction, we propose a simple and interactive segmentation method. SfS is then applied on 0.5-meter resolution Synthetic Aperture Radar (SAR) images with more precise boundary conditions. The results show that prior segmentation is preferable to no segmentation for the stockpiles volume estimation problem. Furthermore, we show that the proposed interactive segmentation method reduces the annotation time needed for such a prior segmentation. © 2022 IEEE.

Original language	English
Title of host publication	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	Proceedings
Publisher	IEEE
Pages	975-978
ISBN (Electronic)	9781665427920
ISBN (Print)	9781665427937
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9884193
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022) - Kuala Lumpur Convention Centre & Virtual, Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022 https://igarss2022.org/#

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2022-July
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022)
Place	Malaysia
City	Kuala Lumpur
Period	17/07/22 → 22/07/22
Internet address	https://igarss2022.org/#

Research Keywords

Dirichlet-Neumann boundary conditions
interactive segmentation
Shape-from-shading
Synthetic Aperture Radar

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10.1109/IGARSS46834.2022.9884193

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Cite this

Marchesoni-Acland, F., d'Autume, M., Facciolo, G., de Franchis, C., Morel, J.-M., & Meinhardt-Llopis, E. (2022). Interactive Segmentation for Shape From Shading Over HR SAR Images. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 975-978). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July). IEEE. https://doi.org/10.1109/IGARSS46834.2022.9884193

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title = "Interactive Segmentation for Shape From Shading Over HR SAR Images",

abstract = "Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to a segmentation of the heaps. To get a fast and accurate 3D reconstruction, we propose a simple and interactive segmentation method. SfS is then applied on 0.5-meter resolution Synthetic Aperture Radar (SAR) images with more precise boundary conditions. The results show that prior segmentation is preferable to no segmentation for the stockpiles volume estimation problem. Furthermore, we show that the proposed interactive segmentation method reduces the annotation time needed for such a prior segmentation. {\textcopyright} 2022 IEEE.",

keywords = "Dirichlet-Neumann boundary conditions, interactive segmentation, Shape-from-shading, Synthetic Aperture Radar",

author = "Franco Marchesoni-Acland and Marie d'Autume and Gabriele Facciolo and {de Franchis}, Carlo and Jean-Michel Morel and Enric Meinhardt-Llopis",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9884193",

language = "English",

isbn = "9781665427937",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE",

pages = "975--978",

booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",

address = "United States",

note = "2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022) ; Conference date: 17-07-2022 Through 22-07-2022",

url = "https://igarss2022.org/#",

}

Marchesoni-Acland, F, d'Autume, M, Facciolo, G, de Franchis, C, Morel, J-M & Meinhardt-Llopis, E 2022, Interactive Segmentation for Shape From Shading Over HR SAR Images. in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, IEEE, pp. 975-978, 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17/07/22. https://doi.org/10.1109/IGARSS46834.2022.9884193

Interactive Segmentation for Shape From Shading Over HR SAR Images. / Marchesoni-Acland, Franco; d'Autume, Marie; Facciolo, Gabriele et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. IEEE, 2022. p. 975-978 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Interactive Segmentation for Shape From Shading Over HR SAR Images

AU - Marchesoni-Acland, Franco

AU - d'Autume, Marie

AU - Facciolo, Gabriele

AU - de Franchis, Carlo

AU - Morel, Jean-Michel

AU - Meinhardt-Llopis, Enric

PY - 2022

Y1 - 2022

N2 - Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to a segmentation of the heaps. To get a fast and accurate 3D reconstruction, we propose a simple and interactive segmentation method. SfS is then applied on 0.5-meter resolution Synthetic Aperture Radar (SAR) images with more precise boundary conditions. The results show that prior segmentation is preferable to no segmentation for the stockpiles volume estimation problem. Furthermore, we show that the proposed interactive segmentation method reduces the annotation time needed for such a prior segmentation. © 2022 IEEE.

AB - Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to a segmentation of the heaps. To get a fast and accurate 3D reconstruction, we propose a simple and interactive segmentation method. SfS is then applied on 0.5-meter resolution Synthetic Aperture Radar (SAR) images with more precise boundary conditions. The results show that prior segmentation is preferable to no segmentation for the stockpiles volume estimation problem. Furthermore, we show that the proposed interactive segmentation method reduces the annotation time needed for such a prior segmentation. © 2022 IEEE.

KW - Dirichlet-Neumann boundary conditions

KW - interactive segmentation

KW - Shape-from-shading

KW - Synthetic Aperture Radar

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U2 - 10.1109/IGARSS46834.2022.9884193

DO - 10.1109/IGARSS46834.2022.9884193

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781665427937

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 975

EP - 978

BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022)

Y2 - 17 July 2022 through 22 July 2022

ER -

Marchesoni-Acland F, d'Autume M, Facciolo G, de Franchis C, Morel JM, Meinhardt-Llopis E. Interactive Segmentation for Shape From Shading Over HR SAR Images. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. IEEE. 2022. p. 975-978. (International Geoscience and Remote Sensing Symposium (IGARSS)). Epub 2022 Sept 28. doi: 10.1109/IGARSS46834.2022.9884193

Interactive Segmentation for Shape From Shading Over HR SAR Images

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Research Keywords

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