Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images

Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images

Convolutional neural networks (CNN) have shown great results for object-detection tasks by learning texture and pattern-extraction filters. However, object-level interactions are harder to grasp without increasing the complexity of the architectures. On the other hand, Point Process models propose t...

Full description

Bibliographic Details
Main Authors:	Jules Mabon, Mathias Ortner, Josiane Zerubia
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Remote Sensing
Subjects:	convolutional neural networks point process energy-based models remote sensing
Online Access:	https://www.mdpi.com/2072-4292/16/6/1019

Similar Items

Small Object Detection and Tracking in Satellite Videos With Motion Informed-CNN and GM-PHD Filter
by: Camilo Aguilar, et al.
Published: (2022-04-01)

Integration of Object-Based Image Analysis and Convolutional Neural Network for the Classification of High-Resolution Satellite Image: A Comparative Assessment
by: Omer Saud Azeez, et al.
Published: (2022-10-01)

A Ship Detector Design Based on Deep Convolutional Neural Networks for Satellite Images
by: Ferhat Ucar, et al.
Published: (2020-02-01)

Application of a Hybrid Model Based on a Convolutional Auto-Encoder and Convolutional Neural Network in Object-Oriented Remote Sensing Classification
by: Wei Cui, et al.
Published: (2018-01-01)

Aircraft detection in remote sensing images based on saliency and convolution neural network
by: Guoxiong Hu, et al.
Published: (2018-02-01)

A Rotating Object Detector with Convolutional Dynamic Adaptive Matching
by: Leibo Yu, et al.
Published: (2024-01-01)

Remote Sensing Image Dehazing Based on an Attention Convolutional Neural Network
by: Zhijie He, et al.
Published: (2022-01-01)

Crop Classification of Satellite Imagery Using Synthetic Multitemporal and Multispectral Images in Convolutional Neural Networks
by: Guillermo Siesto, et al.
Published: (2021-08-01)

Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network
by: Chenming Li, et al.
Published: (2018-10-01)

Archimedes optimisation algorithm quantum dilated convolutional neural network for road extraction in remote sensing images
by: Arun Mozhi Selvi Sundarapandi, et al.
Published: (2024-03-01)

Remote sensing object detection with feature-associated convolutional neural networks
by: Jianghao Rao, et al.
Published: (2024-07-01)

Transfer Learning Based Convolutional Neural Network for Classification of Remote Sensing Images
by: RAMASAMY, M. P., et al.
Published: (2023-11-01)

A Deep Convolutional Neural Network to Detect the Existence of Geospatial Elements in High-Resolution Aerial Imagery
by: Calimanut-Ionut Cira, et al.
Published: (2019-07-01)

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network
by: Xue Yang, et al.
Published: (2018-01-01)

Convolutional Neural Network-Based Method for Agriculture Plot Segmentation in Remote Sensing Images
by: Liang Qi, et al.
Published: (2024-01-01)

Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification
by: Na Liu, et al.
Published: (2018-01-01)

Enhancing Remote Sensing Image Resolution Using Convolutional Neural Networks
by: Julian Supardi, et al.
Published: (2024-12-01)

A Lightweight Convolutional Neural Network Based on Hierarchical-Wise Convolution Fusion for Remote-Sensing Scene Image Classification
by: Cuiping Shi, et al.
Published: (2022-07-01)

A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images
by: Chenxiao Zhang, et al.
Published: (2020-06-01)

A Novel Semantic Segmentation Method for Remote Sensing Images Through Adaptive Scale-Based Convolution Neural Network
by: Jing Zhang, et al.
Published: (2024-01-01)

Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification
by: Xianpeng Guo, et al.
Published: (2022-06-01)

Spatiotemporal image fusion using multiscale attention-aware two-stream convolutional neural networks
by: Yuehong Chen, et al.
Published: (2022-12-01)

Multi-Scale Convolutional Neural Networks for Space Infrared Point Objects Discrimination
by: Qiuqun Deng, et al.
Published: (2019-01-01)

Mapping Tea Plantations from VHR Images Using OBIA and Convolutional Neural Networks
by: Zixia Tang, et al.
Published: (2020-09-01)

Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network
by: Saurabh Kaushik, et al.
Published: (2022-12-01)

EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images
by: Jianye Yuan, et al.
Published: (2023-05-01)

Laser Cut Interruption Detection from Small Images by Using Convolutional Neural Network
by: Benedikt Adelmann, et al.
Published: (2021-01-01)

RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification
by: Zhen Zhang, et al.
Published: (2021-12-01)

On-Board Multi-Class Geospatial Object Detection Based on Convolutional Neural Network for High Resolution Remote Sensing Images
by: Yanyun Shen, et al.
Published: (2023-08-01)

Multi-Class Objects Detection Method in Remote Sensing Image Based on Direct Feedback Control for Convolutional Neural Network
by: Bei Cheng, et al.
Published: (2019-01-01)

Gaussian Dynamic Convolution for Semantic Segmentation in Remote Sensing Images
by: Mingzhe Feng, et al.
Published: (2022-11-01)

Convolutional Neural Network-Based Multiscale Feature Selection and Evaluation in Image Segmentation
by: Cao Di, et al.
Published: (2024-01-01)

An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification
by: Donghang Yu, et al.
Published: (2020-04-01)

Lithology Classification Using TASI Thermal Infrared Hyperspectral Data with Convolutional Neural Networks
by: Huize Liu, et al.
Published: (2021-08-01)

Asbestos—Cement Roofing Identification Using Remote Sensing and Convolutional Neural Networks (CNNs)
by: Małgorzata Krówczyńska, et al.
Published: (2020-01-01)

CSFFNet: Lightweight cross‐scale feature fusion network for salient object detection in remote sensing images
by: Longbao Wang, et al.
Published: (2024-02-01)

Vehicle Object Detection in Remote Sensing Imagery Based on Multi-Perspective Convolutional Neural Network
by: Chenxi Yang, et al.
Published: (2018-06-01)

Remote Sensing Scene Image Classification Based on Self-Compensating Convolution Neural Network
by: Cuiping Shi, et al.
Published: (2022-01-01)

Identification of Earth’s surface objects using ensembles of convolutional neural networks.
by: Evgenii E. Marushko, et al.
Published: (2021-08-01)

Automatic Identification of Center Pivot Irrigation Systems from Landsat Images Using Convolutional Neural Networks
by: Chenxiao Zhang, et al.
Published: (2018-09-01)