Isabel M J Sargent
Isabel M J Sargent
Ordnance Survey; University of Southampton
Verified email at os.uk
Title
Cited by
Cited by
Year
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
1382018
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
1212018
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
722019
Quality assessment of 3D building data
D Akca, M Freeman, I Sargent, A Gruen
The Photogrammetric Record 25 (132), 339-355, 2010
562010
VPRS-based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images
C Zhang, I Sargent, X Pan, A Gardiner, J Hare, PM Atkinson
IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4507-4521, 2018
402018
Data quality in 3D: gauging quality measures from users’ requirements
I Sargent, J Harding, M Freeman
International Archives of Photogrammetry, Remote Sensing and Spatial …, 2007
262007
Exploring the geostatistical method for estimating the signal-to-noise ratio of images
PM Atkinson, IM Sargent, GM Foody, J Williams
Photogrammetric Engineering & Remote Sensing 73 (7), 841-850, 2007
182007
Interpreting image-based methods for estimating the signal-to-noise ratio
PM Atkinson, IM Sargent, GM Foody, J Williams
International Journal of Remote Sensing 26 (22), 5099-5115, 2005
182005
Thematic labelling from hyperspectral remotely sensed imagery: trade-offs in image properties
GM Foody, IMJ Sargent, PM Atkinson, JW Williams
International Journal of Remote Sensing 25 (12), 2337-2363, 2004
132004
Moving towards 3D: from a National Mapping Agency perspective
D Capstick, G Heathcote, J Horgan, I Sargent
The Cartographic Journal 44 (3), 233-238, 2007
92007
Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification
C Zhang, PA Harrison, X Pan, H Li, I Sargent, PM Atkinson
Remote Sensing of Environment 237, 111593, 2020
72020
The building blocks of user-focused 3D city models
I Sargent, D Holland, J Harding
ISPRS International Journal of Geo-Information 4 (4), 2890-2904, 2015
62015
Fast quality control of 3D city models
D Akca, A Gruen, M Freeman, I Sargent
The International LIDAR Mapping Forum, New Orleans, Louisiana, USA, January …, 2009
62009
Quality assessment of 3D building data by 3D surface matching
D Akca, M Freeman, A Gruen, I Sargent
The International Archives of the Photogr ammetry, Remote Sensing and …, 2008
62008
SAR imagery for flood monitoring and assessment
P Aplin, PM Atkinson, AR Tatnall, ME Cutler, I Sargent
Remote Sensing Society, 1999
61999
Quantifying and visualising the uncertainty in 3D building model walls using terrestrial lidar data
M Freeman, I Sargent
Proc. of the Remote Sensing and Photogrammetry Society Conference, 15-17.9, 2008
52008
Land cover classification from hyperspectral remotely sensed data: an investigation of spectral, spatial and noise issues
GM Foody, IMJ Sargent, PM Atkinson, JW Williams
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings …, 2001
42001
Automated detection of archaeology in the New Forest using deep learning with remote sensor data
I Kramer, J Hare, A Prugel-Bennett, I Sargent
32017
Inference and discovery in remote sensing data with features extracted using deep networks
I Sargent, J Hare, D Young, O Wilson, C Doidge, D Holland, PM Atkinson
International Conference on Innovative Techniques and Applications of …, 2017
22017
Automatic height attribute assignment for building polygons: City modeling with level of detail zero
J Amiri Parian, I Sargent
Optical 3-D Measurement Techniques VIII 1, 371-378, 2007
22007
The system can't perform the operation now. Try again later.
Articles 1–20