Burak Ekim

IEEE Geosci. Remote. Sens. Lett., 2024

Mapping Land Naturalness from Sentinel-2 using Deep Contextual and Geographical Priors.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Scale Context Fusion for Pixel-Level Naturalness Mapping Using Sentinel-2 Imagery.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

2023

Explaining Multimodal Data Fusion: Occlusion Analysis for Wilderness Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images.

[BibT_eX]

[DOI]

Paria Ettehadi Osgouei

M. Erdem Kabadayi

Remote. Sens., 2022

MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild.

[BibT_eX]

[DOI]

CoRR, 2022

Mapinwild: A Dataset for Global Wilderness Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map.

[BibT_eX]

[DOI]

M. Erdem Kabadayi

ISPRS Int. J. Geo Inf., 2021

Deep neural network ensembles for remote sensing land cover and land use classification.

[BibT_eX]

[DOI]

Int. J. Digit. Earth, 2021

The naturalness index for the identification of natural areas on regional scale.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2021

A Multi-Task Deep Learning Framework for Building Footprint Segmentation.

[BibT_eX]

[DOI]