SPLIT: A Separation-Preserving Loss for Topology-Aware Building Segmentation in Remote Sensing Images

Sara Shojaei; Johanna R. Arredondo; Elena Sava; Ricky D. Massaro; Kannappan Palaniappan; Filiz Bunyak

doi:10.1007/978-3-032-18474-0_23

SPLIT: A Separation-Preserving Loss for Topology-Aware Building Segmentation in Remote Sensing Images

Sara Shojaei
, Johanna R. Arredondo
, Elena Sava
, Ricky D. Massaro
, Kannappan Palaniappan
, Filiz Bunyak

University of Missouri
U.S. Army Engineer Research and Development Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Applied Imagery Pattern Recognition - 53rd Applied Imagery Pattern Recognition Workshop, AIPR 2025, Proceedings
Editors	Franklin Tanner, John Irvine
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	326-344
Number of pages	19
ISBN (Print)	9783032184733
DOIs	https://doi.org/10.1007/978-3-032-18474-0_23
State	Published - 2026
Externally published	Yes
Event	53rd Annual Applied Imagery Pattern Recognition Workshop, AIPR 2025 - Washington DC, United States Duration: Oct 13 2025 → Oct 14 2025

Publication series

Name	Lecture Notes in Computer Science
Volume	16446 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	53rd Annual Applied Imagery Pattern Recognition Workshop, AIPR 2025
Country/Territory	United States
City	Washington DC
Period	10/13/25 → 10/14/25

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Building Segmentation
Computer Vision
Convolutional Neural Networks
Deep Learning
Satellite Images

Access to Document

10.1007/978-3-032-18474-0_23

Cite this

Shojaei, S., R. Arredondo, J., Sava, E., D. Massaro, R., Palaniappan, K., & Bunyak, F. (2026). SPLIT: A Separation-Preserving Loss for Topology-Aware Building Segmentation in Remote Sensing Images. In F. Tanner, & J. Irvine (Eds.), Applied Imagery Pattern Recognition - 53rd Applied Imagery Pattern Recognition Workshop, AIPR 2025, Proceedings (pp. 326-344). (Lecture Notes in Computer Science; Vol. 16446 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-18474-0_23

SPLIT: A Separation-Preserving Loss for Topology-Aware Building Segmentation in Remote Sensing Images. / Shojaei, Sara; R. Arredondo, Johanna; Sava, Elena et al.
Applied Imagery Pattern Recognition - 53rd Applied Imagery Pattern Recognition Workshop, AIPR 2025, Proceedings. ed. / Franklin Tanner; John Irvine. Springer Science and Business Media Deutschland GmbH, 2026. p. 326-344 (Lecture Notes in Computer Science; Vol. 16446 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shojaei, S, R. Arredondo, J, Sava, E, D. Massaro, R, Palaniappan, K & Bunyak, F 2026, SPLIT: A Separation-Preserving Loss for Topology-Aware Building Segmentation in Remote Sensing Images. in F Tanner & J Irvine (eds), Applied Imagery Pattern Recognition - 53rd Applied Imagery Pattern Recognition Workshop, AIPR 2025, Proceedings. Lecture Notes in Computer Science, vol. 16446 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 326-344, 53rd Annual Applied Imagery Pattern Recognition Workshop, AIPR 2025, Washington DC, United States, 10/13/25. https://doi.org/10.1007/978-3-032-18474-0_23

Shojaei S, R. Arredondo J, Sava E, D. Massaro R, Palaniappan K, Bunyak F. SPLIT: A Separation-Preserving Loss for Topology-Aware Building Segmentation in Remote Sensing Images. In Tanner F, Irvine J, editors, Applied Imagery Pattern Recognition - 53rd Applied Imagery Pattern Recognition Workshop, AIPR 2025, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 326-344. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-18474-0_23

Shojaei, Sara ; R. Arredondo, Johanna ; Sava, Elena et al. / SPLIT : A Separation-Preserving Loss for Topology-Aware Building Segmentation in Remote Sensing Images. Applied Imagery Pattern Recognition - 53rd Applied Imagery Pattern Recognition Workshop, AIPR 2025, Proceedings. editor / Franklin Tanner ; John Irvine. Springer Science and Business Media Deutschland GmbH, 2026. pp. 326-344 (Lecture Notes in Computer Science).

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