Classification of High-Resolution Images Based on MRF Fusion and Multiscale Segmentation-Reference-Cited by-同舟云学术

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Classification of High-Resolution Images Based on MRF Fusion and Multiscale Segmentation

Published:2008 Issue: Volume: Page:
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Container-title:IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Moser Gabriele,Serpico Sebastiano B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4757194/4778902/04778981.pdf?arnumber=4778981

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BFFNet: a bidirectional feature fusion network for semantic segmentation of remote sensing objects;International Journal of Intelligent Computing and Cybernetics;2023-08-03

2. ACTNet: A Dual-Attention Adapter with a CNN-Transformer Network for the Semantic Segmentation of Remote Sensing Imagery;Remote Sensing;2023-04-29

3. Adaptive Edge Preserving Maps in Markov Random Fields for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2021-10

4. Traffic Zones Discretization and Origin-Destination Matrix Estimation by means of Transport Demand and Satellite Data Fusion;2021 IEEE International Intelligent Transportation Systems Conference (ITSC);2021-09-19

5. Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2019-05

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