Remote Sensing Image Processing
A section of Remote Sensing (ISSN 2072-4292).
Section Information
With the recent advances of remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. For example, multi-source/multi-temporal/multi-scale data are frequently delivered by remote sensors. But, if we want to explore them by hand and then obtain useful information, the workload would be overwhelming and the performance would be unsatisfactory. Therefore, processing remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years.
In recent decades, this area has attracted a lot of research interest, and significant progress has been made. Many advances can be seen concerning image processing techniques of enhancement, analysis and understanding from the intuitive and machine-learning level. Nevertheless, many challenges still remain in the remote sensing field which encourage new efforts and developments to better understand remote sensing images via image processing techniques.
We invite authors to submit their articles to Remote Sensing in order to improve current knowledge of the image processing technique in remote sensing. Articles addressing theories and applications based on remote sensing image processing are welcome.Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Radar and Sonar Imaging and Processing IV (Deadline: 15 October 2023)
- Exploitation of SAR Data Using Deep Learning Approaches (Deadline: 20 October 2023)
- Remote Sensing Data Fusion and Applications (Deadline: 20 October 2023)
- Computational Intelligence for Remote Sensing Image Analysis and Applications (Deadline: 20 October 2023)
- New Advances in Hyperspectral–Multispectral Image Classification and Fusion Applications (Deadline: 31 October 2023)
- Applications and New Trends in Metrology for Radar/LiDAR-Based Systems II (Deadline: 31 October 2023)
- Deep Learning Based Target Detection and Recognition in Remote Sensing Images (Deadline: 31 October 2023)
- Novel Applications of UAV Imagery for Forest Science (Deadline: 31 October 2023)
- Multispectral Image Acquisition, Processing and Analysis—2nd Edition (Deadline: 31 October 2023)
- Air Quality Mapping via Satellite Remote Sensing (Deadline: 31 October 2023)
- Remote Sensing for Maritime Monitoring and Vessel Identification (Deadline: 31 October 2023)
- Advances and Challenges on Multisource Remote Sensing Image Fusion: Datasets, New Technologies, and Applications (Deadline: 31 October 2023)
- Hyperspectral Remote Sensing Imaging and Processing (Deadline: 31 October 2023)
- Antarctic Remote Sensing Applications (Deadline: 3 November 2023)
- Applications of Unmanned Aerial Vehicle (UAV) Based Remote Sensing (Deadline: 10 November 2023)
- Multisource Remote Sensing Image Interpretation and Application (Deadline: 15 November 2023)
- Nowcasting of Convective Storms Based on Remote Sensing Data Fusion (Deadline: 20 November 2023)
- Remote Sensing Imagery of Sea Ice (Deadline: 30 November 2023)
- Copernicus Sentinels Missions Calibration, Validation, FRM and Innovation Approaches in Satellite-Data Quality Assessment (Deadline: 30 November 2023)
- Advanced Techniques for Water-Related Remote Sensing (Deadline: 30 November 2023)
- Computational Imaging Approaches, Challenges and Opportunities in Earth Observation (Deadline: 30 November 2023)
- Advances in Radar Imaging with Deep Learning Algorithms (Deadline: 30 November 2023)
- Advances in Synthetic Aperture Radar Image Processing and Information Extraction (Deadline: 30 November 2023)
- Feature Extraction and Data Classification in Hyperspectral Imaging II (Deadline: 30 November 2023)
- Deep Transfer Learning for Remote Sensing II (Deadline: 30 November 2023)
- Advances in Remote Sensing of Hyperspectral Image Processing and Radiative Transfer Modeling (Deadline: 30 November 2023)
- Remote Sensing of Target Object Detection and Identification II (Deadline: 1 December 2023)
- Unmanned Aerial Vehicles (UAV): New Solutions and Applications for Real-Life Tasks (Deadline: 1 December 2023)
- Active Learning Methods for Remote Sensing Image Classification (Deadline: 1 December 2023)
- Feature Selection from SAR Images for Terrain Surface Classification (Deadline: 15 December 2023)
- Pattern Recognition in Remote Sensing II (Deadline: 15 December 2023)
- Computer Vision and Image Processing in Remote Sensing (Deadline: 15 December 2023)
- State of the Art in Object Detection Based on Computer Vision and Image Processing (Deadline: 15 December 2023)
- Object Detection and Information Extraction Based on Remote Sensing Imagery (Deadline: 20 December 2023)
- Uncertainty in Remote Sensing Image Analysis II (Deadline: 22 December 2023)
- Information Extraction from High Spatial Resolution Satellite Images (Deadline: 25 December 2023)
- Remote Sensing Image Processing with Transformers (Deadline: 25 December 2023)
- Machine Learning with Extremely Few Annotations for Remote Sensing (Deadline: 25 December 2023)
- Google Earth Engine for Remote Sensing Big Data Landscapes (Deadline: 28 December 2023)
- New Perspectives on 3D Point Cloud II (Deadline: 28 December 2023)
- Recent Trends for Image Restoration Techniques Used in Remote Sensing (Deadline: 31 December 2023)
- Artificial Intelligence Algorithm for Remote Sensing Imagery Processing III (Deadline: 31 December 2023)
- Geospatial Object Detection and Geographic Image Classification Based on Remote Sensing Imagery (Deadline: 31 December 2023)
- Automatic Segmentation, Reconstruction, and Modelling from Laser Scanning Data (Deadline: 31 December 2023)
- Combination of LiDAR and UAS Data for Geological and Environmental Applications (Deadline: 31 December 2023)
- Computer Vision and Machine Learning for Remote Sensing Solutions Applied to Environmental Challenges (Deadline: 31 December 2023)
- Advances in Remote Sensing, Radar Techniques, and Their Applications (Deadline: 31 December 2023)
- Advances on Remote Sensing, Modeling, and Trajectory Prediction of Marine Oil Spill (Deadline: 31 December 2023)
- Deep Neural Networks for Hyperspectral Remote Sensing Image Processing (Deadline: 31 December 2023)
- New Methods and Approaches in Airborne Hyperspectral Data Processing (Deadline: 31 December 2023)
- Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images - 2nd Edition (Deadline: 31 December 2023)
- Land Surface Feature Extraction from High-Resolution Remote Sensing Imagery (Deadline: 31 December 2023)
- Advances in Deep Fusion of Multi-Source Remote Sensing Images (Deadline: 1 January 2024)
- Pattern Recognition and Image Processing for Remote Sensing III (Deadline: 5 January 2024)
- Advances in Deep Learning Approaches in Remote Sensing (Deadline: 15 January 2024)
- Advanced Sensing and Image Processing in Agricultural Applications (Deadline: 15 January 2024)
- Analysis of SAR/InSAR Data in Geoscience (Deadline: 15 January 2024)
- Target Detection with Fully-Polarized Radar (Deadline: 15 January 2024)
- Urban Growth Monitoring and Modeling Using Historical Earth Observation Satellite Data (Deadline: 20 January 2024)
- Deep Learning and Explainable AI (XAI) for Next Level Information Extraction from Remote Sensing Imagery (Deadline: 31 January 2024)
- The Age of Big Data: AI Technology for Remote Sensing Image Processing & Application (Deadline: 31 January 2024)
- Advanced Artificial Intelligence and Remote Sensing Techniques in Modeling and Monitoring of Natural Disasters (Deadline: 31 January 2024)
- Target Detection, Tracking and Imaging Based on Radar (Deadline: 31 January 2024)
- Photogrammetric Computer Vision in Remote Sensing (Deadline: 31 January 2024)
- Digital Photogrammetry and Laser Scanning in Cultural Heritage Survey (Deadline: 31 January 2024)
- Advances in Radar Remote Sensing Processing and Applications (Deadline: 31 January 2024)
- Advanced Artificial Intelligence and Deep Learning for Remote Sensing II (Deadline: 31 January 2024)
- Advanced Machine Learning Approaches for Analysis of Remote Sensing Images (Deadline: 31 January 2024)
- Long-Wave-Infrared Hyperspectral Imaging Process (Deadline: 31 January 2024)
- Scientific Applications of Imaging Spectroscopy from Laboratory to Spaceborne Observation Scale (Deadline: 31 January 2024)
- Recent Progress in Remote Sensing of Land Cover Change (Deadline: 31 January 2024)
- Explainable Deep Neural Networks for Remote Sensing Image Understanding II (Deadline: 31 January 2024)
- Hyperspectral Sensors for Soil Parameters and Crop Parameters Retrieval (Deadline: 31 January 2024)
- Applications of Internet of Things and Intelligent Sensors in Remote Sensing (Deadline: 31 January 2024)
- Advanced Artificial Intelligence Algorithm for the Analysis of Remote Sensing Images II (Deadline: 1 February 2024)
- Advancement of Remote Sensing and UAS in Cartography and Visualisation (Deadline: 4 February 2024)
- Remote Sensing of the Dead Sea Region (Deadline: 8 February 2024)
- Deep Learning for Satellite Image Segmentation (Deadline: 15 February 2024)
- Recent Advances in the Processing of Hyperspectral Images (Deadline: 16 February 2024)
- Remote Sensing Cross-Modal Research: Algorithms and Practices (Deadline: 20 February 2024)
- Recent Advantages in Monitoring Inland Water Using Various Sources of Remote Sensing Imagery from Space (Deadline: 20 February 2024)
- Remote Sensing Image Classification and Semantic Segmentation (Deadline: 20 February 2024)
- Classification and Feature Extraction from Remote Sensing Imagery and Point Cloud Data (Deadline: 29 February 2024)
- Multi-Sensor Systems and Data Fusion in Remote Sensing II (Deadline: 29 February 2024)
- Advances in Hyperspectral Data Exploitation II (Deadline: 29 February 2024)
- Advances in Hyperspectral Data Processing (Deadline: 29 February 2024)
- Satellite Soil Moisture Estimation, Assessment, and Applications (Deadline: 29 February 2024)
- Self-Supervised Learning in Remote Sensing (Deadline: 29 February 2024)
- Multi-Platform and Multi-Modal Remote Sensing Data Fusion with Advanced Deep Learning Techniques (Deadline: 29 February 2024)
- Deep Learning for Remote Sensing Image Enhancement (Deadline: 29 March 2024)
- 3D Information Recovery and 2D Image Processing for Remotely Sensed Optical Images II (Deadline: 31 March 2024)
- State-of-the-Art LIDAR Technologies (Deadline: 31 March 2024)
- Monitoring and Evaluation of Geological Disaster Using Remote Sensing Technology (Deadline: 31 March 2024)
- New Deep Learning Paradigms for Multisource Remote Sensing Data Fusion and Classification (Deadline: 31 March 2024)
- Image Change Detection Research in Remote Sensing II (Deadline: 31 March 2024)
- New Trends of GEOBIA in Remote Sensing (Deadline: 30 April 2024)
- Advances in Hyperspectral Remote Sensing Image Processing (Deadline: 31 July 2024)
