Peter M Atkinson
Peter M Atkinson
Distinguished Professor and Executive Dean, Faculty of Science and Technology, Lancaster University
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Introduction neural networks in remote sensing
PM Atkinson, ARL Tatnall
International Journal of remote sensing 18 (4), 699-709, 1997
Generalised linear modelling of susceptibility to landsliding in the central Apennines, Italy
PM Atkinson, R Massari
Computers & Geosciences 24 (4), 373-385, 1998
Urbanization, malaria transmission and disease burden in Africa
SI Hay, CA Guerra, AJ Tatem, PM Atkinson, RW Snow
Nature Reviews Microbiology 3 (1), 81-90, 2005
Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
VF Rodriguez-Galiano, M Chica-Olmo, F Abarca-Hernandez, PM Atkinson, ...
Remote Sensing of Environment 121, 93-107, 2012
Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology
PM Atkinson, C Jeganathan, J Dash, C Atzberger
Remote sensing of environment 123, 400-417, 2012
Covid-19 outbreak prediction with machine learning
SF Ardabili, A Mosavi, P Ghamisi, F Ferdinand, AR Varkonyi-Koczy, ...
Algorithms 13 (10), 249, 2020
Explainable artificial intelligence: an analytical review
PP Angelov, EA Soares, R Jiang, NI Arnold, PM Atkinson
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (5 …, 2021
Geostatistical classification for remote sensing: an introduction
PM Atkinson, P Lewis
Computers & Geosciences 26 (4), 361-371, 2000
Mapping sub-pixel proportional land cover with AVHRR imagery
PM Atkinson, MEJ Cutler, H Lewis
International Journal of Remote Sensing 18 (4), 917-935, 1997
An object-based convolutional neural network (OCNN) for urban land use classification
C Zhang, I Sargent, X Pan, H Li, A Gardiner, J Hare, PM Atkinson
Remote sensing of environment 216, 57-70, 2018
Super-resolution target identification from remotely sensed images using a Hopfield neural network
AJ Tatem, HG Lewis, PM Atkinson, MS Nixon
IEEE Transactions on Geoscience and Remote Sensing 39 (4), 781-796, 2001
Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art
P Ghamisi, B Rasti, N Yokoya, Q Wang, B Hofle, L Bruzzone, F Bovolo, ...
IEEE Geoscience and Remote Sensing Magazine 7 (1), 6-39, 2019
Joint Deep Learning for land cover and land use classification
C Zhang, I Sargent, X Pan, H Li, A Gardiner, J Hare, PM Atkinson
Remote sensing of environment 221, 173-187, 2019
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
L Wang, R Li, C Zhang, S Fang, C Duan, X Meng, PM Atkinson
ISPRS Journal of Photogrammetry and Remote Sensing 190, 196-214, 2022
A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification
C Zhang, X Pan, H Li, A Gardiner, I Sargent, J Hare, PM Atkinson
ISPRS Journal of Photogrammetry and Remote Sensing 140, 133-144, 2018
Sub-pixel target mapping from soft-classified, remotely sensed imagery
PM Atkinson
Photogrammetric Engineering & Remote Sensing 71 (7), 839-846, 2005
Spatial scale problems and geostatistical solutions: a review
PM Atkinson, NJ Tate
The Professional Geographer 52 (4), 607-623, 2000
Geostatistics and remote sensing
PJ Curran, PM Atkinson
Progress in Physical Geography 22 (1), 61-78, 1998
Remote sensing of ecosystem services: A systematic review
CC de Araujo Barbosa, PM Atkinson, JA Dearing
Ecological Indicators 52, 430-443, 2015
Spatio-temporal fusion for daily Sentinel-2 images
Q Wang, PM Atkinson
Remote Sensing of Environment 204, 31-42, 2018
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