Weakly Supervised Semantic Segmentation of Remote Sensing Images for
Tree Species Classification Based on Explanation Methods

Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022

19 January 2022

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Papers citing "Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods"

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Title
A deep multiple instance learning approach based on coarse labels for high-resolution land-cover mappingRemote Sensing (RS), 2023 Gianmarco Perantoni Lorenzo Bruzzone 117 0 0 08 Oct 2025
On the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), 2025 Jonas Klotz Tom Burgert Tim Siebert 272 0 0 08 Jul 2025
BarkXAI: A Lightweight Post-Hoc Explainable Method for Tree Species Classification with Quantifiable Concepts Yunmei Huang Songlin Hou Zachary Nelson Horve Songlin Fei 220 0 0 26 Feb 2025
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022 Tom Burgert Mahdyar Ravanbakhsh Begüm Demir NoLa 192 25 0 28 Jul 2022