H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Environmental Sciences D-index 73 Citations 17,454 342 World Ranking 492 National Ranking 36

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Ecology

Peter M. Atkinson mainly focuses on Remote sensing, Image resolution, Pixel, Land cover and Artificial intelligence. His Remote sensing research includes elements of Image fusion, Kriging, Geostatistics, Downscaling and Scale. His Image resolution research integrates issues from Sharpening, Contextual image classification, Mean squared error, Satellite and Field.

Peter M. Atkinson combines subjects such as Spatial correlation, Cloud cover and Spatial dependence with his study of Pixel. His Land cover research includes themes of Cartography, Artificial neural network, Variogram, Spatial variability and Vegetation. His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.

His most cited work include:

  • Introduction Neural networks in remote sensing (723 citations)
  • Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy (411 citations)
  • Urbanization, malaria transmission and disease burden in Africa. (408 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Remote sensing, Land cover, Image resolution, Artificial intelligence and Pixel. His study in Remote sensing is interdisciplinary in nature, drawing from both Vegetation, Downscaling, Kriging and Scale. His research investigates the connection between Kriging and topics such as Geostatistics that intersect with issues in Variogram.

His Land cover study combines topics from a wide range of disciplines, such as Cartography, Spatial analysis and Thematic Mapper. The concepts of his Image resolution study are interwoven with issues in Contextual image classification, Satellite, Moderate-resolution imaging spectroradiometer and Temporal resolution. In his study, Synthetic aperture radar is inextricably linked to Pattern recognition, which falls within the broad field of Artificial intelligence.

He most often published in these fields:

  • Remote sensing (46.84%)
  • Land cover (21.59%)
  • Image resolution (22.43%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (24.09%)
  • Remote sensing (46.84%)
  • Pattern recognition (16.11%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Remote sensing, Pattern recognition, Image resolution and Land cover are his primary areas of study. His Artificial intelligence study frequently links to related topics such as Machine learning. His Remote sensing study combines topics in areas such as Vegetation and Downscaling.

In his research on the topic of Downscaling, Kriging and Algorithm is strongly related with Point spread function. His research investigates the link between Pattern recognition and topics such as Subpixel rendering that cross with problems in Basis. The various areas that Peter M. Atkinson examines in his Image resolution study include Moderate-resolution imaging spectroradiometer, Temporal resolution and Scale.

Between 2017 and 2021, his most popular works were:

  • An object-based convolutional neural network (OCNN) for urban land use classification (134 citations)
  • Joint Deep Learning for land cover and land use classification (94 citations)
  • Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (77 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Ecology

His main research concerns Remote sensing, Artificial intelligence, Phenology, Vegetation and Growing season. Peter M. Atkinson interconnects Image resolution, Downscaling and Sensor fusion in the investigation of issues within Remote sensing. His Image resolution research integrates issues from Benchmark and Moderate-resolution imaging spectroradiometer.

His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence. His Vegetation study combines topics from a wide range of disciplines, such as Wet season, Climate change, Ecosystem, Physical geography and Mangrove. His Satellite research focuses on Land cover and how it connects with Pixel.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Introduction Neural networks in remote sensing

Peter M. Atkinson;A. R. L. Tatnall.
International Journal of Remote Sensing (1997)

1190 Citations

Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy

P. M. Atkinson;R. Massari.
Computers & Geosciences (1998)

616 Citations

Urbanization, malaria transmission and disease burden in Africa.

Simon I. Hay;Carlos A. Guerra;Andrew J. Tatem;Peter M. Atkinson.
Nature Reviews Microbiology (2005)

584 Citations

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

V.F. Rodriguez-Galiano;M. Chica-Olmo;F. Abarca-Hernandez;Peter M. Atkinson.
Remote Sensing of Environment (2012)

451 Citations

Super-resolution target identification from remotely sensed images using a Hopfield neural network

A.J. Tatem;H.G. Lewis;P.M. Atkinson;M.S. Nixon.
IEEE Transactions on Geoscience and Remote Sensing (2001)

390 Citations

Mapping sub-pixel proportional land cover with AVHRR imagery

Peter M. Atkinson;M. E. J. Cutler;Hugh G. Lewis.
International Journal of Remote Sensing (1997)

389 Citations

Geostatistical classification for remote sensing: an introduction

P. M. Atkinson;P. Lewis.
Computers & Geosciences (2000)

382 Citations

Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology

Peter M. Atkinson;C. Jeganathan;Jadu Dash;Clement Atzberger.
Remote Sensing of Environment (2012)

377 Citations

Geostatistics and remote sensing

Paul J. Curran;Peter M. Atkinson.
Progress in Physical Geography (1998)

319 Citations

Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery

Peter M. Atkinson.
Photogrammetric Engineering and Remote Sensing (2005)

299 Citations

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Best Scientists Citing Peter M. Atkinson

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Simon I. Hay

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University of Technology Sydney

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Peter W. Gething

Telethon Kids Institute

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David L. Smith

David L. Smith

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Giles M. Foody

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Xiaodong Li

Xiaodong Li

Chinese Academy of Sciences

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Saro Lee

Saro Lee

Korea Institute of Geoscience and Mineral Resources

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Liangpei Zhang

Wuhan University

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Alfred Stein

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Clement Atzberger

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Yanfei Zhong

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Andrew K. Skidmore

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Michael A. Wulder

Natural Resources Canada

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Pedram Ghamisi

Helmholtz-Zentrum Dresden-Rossendorf

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