6 papers
Vehicle detection and counting from VHR satellite images: efforts and open issues
Alice Froidevaux, Andréa Julier, Agustin Lifschitz +5
Detection of new infrastructures (commercial, logistics, industrial or residential) from satellite images constitutes a proven method to investigate and follow economic and urban g…
Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks
Minh-Tan Pham, Sébastien Lefèvre
In this work, we exploit convolutional neural networks (CNNs) for the classification of very high resolution (VHR) polarimetric SAR (PolSAR) data. Due to the significant appearance…
Efficient texture retrieval using multiscale local extrema descriptors and covariance embedding
Minh-Tan Pham
This paper presents an efficient method for texture retrieval using multiscale feature extraction and embedding based on the local extrema keypoints. The idea is to first represent…
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study
Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre
The motivation of this paper is to conduct a comparative study on remote sensing image classification using the morphological attribute profiles (APs) and feature profiles (FPs) ge…
Recent Developments from Attribute Profiles for Remote Sensing Image Classification
Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula +1
Morphological attribute profiles (APs) are among the most effective methods to model the spatial and contextual information for the analysis of remote sensing images, especially fo…
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN
Minh-Tan Pham, Sébastien Lefèvre
In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due…