Validation Challenges in Large-Scale Tree Crown Segmentations from Remote Sensing Imagery Using Deep Learning: A Case Study in Germany

Presentation for the paper titled "Validation Challenges in Large-Scale Tree Crown Segmentations from Remote Sensing Imagery Using Deep Learning: A Case Study in Germany". Link to published paper: https://doi.org/10.1007/978-3-032-06136-2_30

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17226760
Primary Topic
Plant Pathogenic Bacteria Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Validation Challenges in Large-Scale Tree Crown Segmentations from Remote Sensing Imagery Using Deep Learning: A Case Study in Germany

Zenodo (CERN European Organization for Nuclear Research)
Plant Pathogenic Bacteria Studies
article

Validation Challenges in Large-Scale Tree Crown Segmentations from Remote Sensing Imagery Using Deep Learning: A Case Study in Germany

article en

Abstract

Presentation for the paper titled "Validation Challenges in Large-Scale Tree Crown Segmentations from Remote Sensing Imagery Using Deep Learning: A Case Study in Germany". Link to published paper: https://doi.org/10.1007/978-3-032-06136-2_30

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 34%
Plant Pathogenic Bacteria Studies
DOIOpen Access PDFOpenAlex
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Validation Challenges in Large-Scale Tree Crown Segmentations from Remote Sensing Imagery Using Deep Learning: A Case Study in Germany · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS