Standout Papers

Introduction Neural networks in remote sensing 1997 2026 2006 2016 669
  1. Introduction Neural networks in remote sensing (1997)
    Peter M. Atkinson, A.R.L. Tatnall International Journal of Remote Sensing
  2. UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery (2022)
    Libo Wang, Rui Li et al. ISPRS Journal of Photogrammetry and Remote Sensing
  3. Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture (2012)
    Víctor Rodríguez‐Galiano, Mario Chica‐Olmo et al. Remote Sensing of Environment
  4. GENERALISED LINEAR MODELLING OF SUSCEPTIBILITY TO LANDSLIDING IN THE CENTRAL APENNINES, ITALY (1998)
    Peter M. Atkinson et al. Computers & Geosciences
  5. Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019)
    Pedram Ghamisi, Richard Gloaguen et al. IEEE Geoscience and Remote Sensing Magazine
  6. Explainable artificial intelligence: an analytical review (2021)
    Plamen Angelov, Eduardo Soares et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  7. Joint Deep Learning for land cover and land use classification (2018)
    Ce Zhang, Isabel Sargent et al. Remote Sensing of Environment
  8. An object-based convolutional neural network (OCNN) for urban land use classification (2018)
    Ce Zhang, Isabel Sargent et al. Remote Sensing of Environment
  9. A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification (2017)
    Ce Zhang, Xin Pan et al. ISPRS Journal of Photogrammetry and Remote Sensing
  10. Deep learning-based landslide susceptibility mapping (2021)
    Mohammad Azarafza, Mehdi Azarafza et al. Scientific Reports
  11. ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery (2021)
    Rui Li, Shunyi Zheng et al. ISPRS Journal of Photogrammetry and Remote Sensing

Immediate Impact

46 from Science/Nature 67 standout
Sub-graph 1 of 23

Citing Papers

AI for science: Predicting infectious diseases
2024 Standout
Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
2024 Standout
2 intermediate papers

Works of Peter M. Atkinson being referenced

Explainable artificial intelligence: an analytical review
2021 Standout
COVID-19 Outbreak Prediction with Machine Learning
2020
and 2 more

Author Peers

Author Last Decade Papers Cites
Peter M. Atkinson 7390 5264 6192 5609 499 21.0k
Thomas Blaschke 5270 4952 9573 4168 257 20.4k
Jin Chen 9435 5731 8874 3350 667 22.5k
Peng Gong 12040 9817 14047 3799 534 28.7k
Giles M. Foody 14129 7344 10898 6920 286 25.7k
Qihao Weng 5064 12336 12870 3534 415 24.0k
Alfred Stein 2716 4033 3535 1758 470 12.1k
Xia Li 3793 4045 13554 1424 639 23.6k
Stephen V. Stehman 13570 6380 15703 2309 191 25.8k
Andrew K. Skidmore 18477 7023 9409 1434 494 30.5k
Bo Huang 2037 3111 4795 3182 386 13.8k

All Works

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Rankless by CCL
2026