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Minh-Tan Pham
Minh-Tan Pham
Associate Professor (Maître de Conférences) at Université Bretagne Sud
Verified email at irisa.fr - Homepage
Title
Cited by
Cited by
Year
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN
MT Pham, S Lefèvre
IGARSS 2018-2018 IEEE international geoscience and remote sensing symposium …, 2018
1842018
YOLO-Fine: One-stage detector of small objects under various backgrounds in remote sensing images
MT Pham, L Courtrai, C Friguet, S Lefèvre, A Baussard
Remote Sensing 12 (15), 2501, 2020
1382020
Small object detection in remote sensing images based on super-resolution with auxiliary generative adversarial networks
L Courtrai, MT Pham, S Lefèvre
Remote Sensing 12 (19), 3152, 2020
902020
Change detection between SAR images using a pointwise approach and graph theory
MT Pham, G Mercier, J Michel
IEEE Transactions on Geoscience and Remote Sensing 54 (4), 2020-2032, 2015
752015
Pointwise graph-based local texture characterization for very high resolution multispectral image classification
MT Pham, G Mercier, J Michel
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
372015
Local feature-based attribute profiles for optical remote sensing image classification
MT Pham, S Lefevre, E Aptoula
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1199-1212, 2017
362017
Self-supervised learning for scene classification in remote sensing: Current state of the art and perspectives
P Berg, MT Pham, N Courty
Remote Sensing 14 (16), 3995, 2022
332022
Spherical sliced-wasserstein
C Bonet, P Berg, N Courty, F Septier, L Drumetz, MT Pham
The Eleventh International Conference on Learning Representations (ICLR), 2022
332022
Color texture image retrieval based on local extrema features and Riemannian distance
MT Pham, G Mercier, L Bombrun
Journal of Imaging 3 (4), 43, 2017
302017
Feature profiles from attribute filtering for classification of remote sensing images
MT Pham, E Aptoula, S Lefèvre
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
252017
Texture retrieval from VHR optical remote sensed images using the local extrema descriptor with application to vineyard parcel detection
MT Pham, G Mercier, O Regniers, J Michel
Remote Sensing 8 (5), 368, 2016
232016
Semantic Segmentation of Lidar Points Clouds: Rasterization Beyond Digital Elevation Models
F Guiotte, MT Pham, R Dambreville, T Corpetti, S Lefèvre
IEEE Geoscience and Remote Sensing Letters, 2020
202020
Recent developments from attribute profiles for remote sensing image classification
MT Pham, S Lefèvre, E Aptoula, L Bruzzone
arXiv preprint arXiv:1803.10036, 2018
202018
PW-COG: An effective texture descriptor for VHR satellite imagery using a pointwise approach on covariance matrix of oriented gradients
MT Pham, G Mercier, J Michel
IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3345-3359, 2016
192016
Classification of remote sensing data with morphological attribute profiles: A decade of advances
DS Maia, MT Pham, E Aptoula, F Guiotte, S Lefèvre
IEEE geoscience and remote sensing magazine 9 (3), 43-71, 2021
182021
Wavelets on graphs for very high resolution multispectral image texture segmentation
MT Pham, G Mercier, J Michel
2014 IEEE Geoscience and Remote Sensing Symposium, 2273-2276, 2014
182014
Weakly supervised detection of marine animals in high resolution aerial images
P Berg, D Santana Maia, MT Pham, S Lefèvre
Remote Sensing 14 (2), 339, 2022
152022
Vehicle detection and counting from VHR satellite images: efforts and open issues
A Froidevaux, A Julier, A Lifschitz, MT Pham, R Dambreville, S Lefèvre, ...
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
142020
Attribute profiles on derived textural features for highly textured optical image classification
MT Pham, S Lefèvre, F Merciol
IEEE Geoscience and Remote Sensing Letters 15 (7), 1125-1129, 2018
142018
Textural features from wavelets on graphs for very high resolution panchromatic Pléiades image classification
MT Pham, G Mercier, J Michel
Revue française de photogrammétrie et de télédétection, 131-136, 2014
132014
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