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
Topic Board
Special Issues
Following special issues within this section are currently open for submissions:
- Fusion of InSAR Data And Other Sources for Infrastructure Monitoring (Deadline: 31 March 2021)
- Through-Wall Radar Imaging and Indoor Surveillance (Deadline: 31 March 2021)
- Synthetic Aperture Radar (SAR) Imaging of the Sea Surface: Simulation, Modelling, and Processing (Deadline: 31 March 2021)
- Acquire and Perceive: Novel Approaches for Imaging-Based Plant Phenotyping (Deadline: 31 March 2021)
- Computer Vision and Deep Learning for Remote Sensing Applications (Deadline: 31 March 2021)
- New Advances on Sub-pixel Processing: Unmixing and Mapping Methods (Deadline: 31 March 2021)
- Advanced Multisensor Image Analysis Techniques for Land-Cover Mapping (Deadline: 31 March 2021)
- Remote Sensing Data Compression (Deadline: 31 March 2021)
- Remote Sensing Approaches for Archaeology (Deadline: 31 March 2021)
- Remote Sensing Images Processing for Disasters Response (Deadline: 31 March 2021)
- 3D Modelling from Point Cloud: Algorithms and Methods (Deadline: 31 March 2021)
- The Future of Remote Sensing: Harnessing the Data Revolution (Deadline: 31 March 2021)
- Multi-Sensor Systems and Data Fusion in Remote Sensing (Deadline: 31 March 2021)
- High Performance Computing of Remotely-Sensed Data (Deadline: 31 March 2021)
- Computational Intelligence and Advanced Learning Techniques in Remote Sensing (Deadline: 31 March 2021)
- GPU Computing for Geoscience and Remote Sensing (Deadline: 31 March 2021)
- Satellite Image Processing and Applications (Deadline: 31 March 2021)
- Unmanned Aerial Systems (UASs) for Environmental Applications (Deadline: 31 March 2021)
- Classification and Feature Extraction Based on Remote Sensing Imagery (Deadline: 31 March 2021)
- Feature-Based Methods for Remote Sensing Image Classification (Deadline: 30 April 2021)
- Advanced Techniques for Ground Penetrating Radar Imaging (Deadline: 30 April 2021)
- Remote Sensing for Crop Mapping (Deadline: 1 May 2021)
- High Spatial Resolution Remote Sensing: Data, Analysis, and Applications (Deadline: 1 May 2021)
- Semantic Segmentation of High-Resolution Images with Deep Learning (Deadline: 31 May 2021)
- Machine Learning and Pattern Analysis in Hyperspectral Remote Sensing (Deadline: 31 May 2021)
- 3D Reconstruction Based on Remote Sensing Imagery and Lidar Point Cloud (Deadline: 31 May 2021)
- Multi-Task Deep Learning for Image Fusion and Segmentation (Deadline: 31 May 2021)
- Advances in Information Extraction Techniques for Use with Hyperspectral Data (Deadline: 31 May 2021)
- Remote Sensing Image Denoising, Restoration and Reconstruction (Deadline: 31 May 2021)
- Deep Learning for Remote Sensing Image Classification (Deadline: 31 May 2021)
- Advanced Artificial Intelligence for Remote Sensing: Methodology and Application (Deadline: 1 June 2021)
- Advances in Optical Remote Sensing Image Processing and Applications (Deadline: 1 June 2021)
- Feature Papers for Remote Sensing Image Processing Section (Deadline: 30 June 2021)
- Machine Learning Methods for Polar Regions (Deadline: 30 June 2021)
- Hyperspectral Remote Sensing: Current Situation and New Challenges (Deadline: 30 June 2021)
- Agricultural Drainage Management Using Geospatial Technologies (Deadline: 30 June 2021)
- VNIR-SWIR Spectroscopic and Remote Sensing Applications to Earth Science and Environmental Issues (Deadline: 30 June 2021)
- Advanced Artificial Intelligence and Deep Learning for Remote Sensing (Deadline: 30 June 2021)
- New Trends in High Resolution Imagery Processing (Deadline: 30 June 2021)
- Advanced Machine Learning for Time Series Remote Sensing Data Analysis (Deadline: 30 June 2021)
- Using Satellite Images for Drought Monitoring (Deadline: 30 June 2021)
- Remote Sensing Data and Classification Algorithms (Deadline: 30 June 2021)
- Scattering by Ice Crystals in the Earth's Atmosphere (Deadline: 1 July 2021)
- Unmanned Aerial Vehicles for Photogrammetry (Deadline: 15 July 2021)
- Remote Sensing Applications of Image Denoising and Restoration (Deadline: 17 July 2021)
- Satellite and Ground-Based Remote Sensing for Archaeological and Heritage Research (Deadline: 31 July 2021)
- The Impact of Anti-COVID Measures Seen from the Sky (Deadline: 31 July 2021)
- Digital Underwater Imaging (Deadline: 31 July 2021)
- Correction of Remotely Sensed Imagery (Deadline: 31 July 2021)
- Machine Learning Using High-Resolution Remote Sensing Datasets (Deadline: 31 July 2021)
- Advances in Marine and Maritime Applications of SAR (Deadline: 31 July 2021)
- Methods and Applications in Land Cover Mapping for Environmental Monitoring Using Multi-Source Datasets and Cloud Computing (Deadline: 6 August 2021)
- 2nd Edition Radar and Sonar Imaging and Processing (Deadline: 15 August 2021)
- Accuracy and Quality Control of Remote Sensing Data (Deadline: 30 August 2021)
- Big Remotely Sensed Data (Deadline: 31 August 2021)
- Recent Advances on Radar and Remote Sensing Using Satellite Signals of Opportunity (Deadline: 31 August 2021)
- InSAR Monitoring of Slow Steady-State and Episodic Ground Surface Displacements (Deadline: 31 August 2021)
- Methodological Advancements in Remote Sensing of Biophysical Parameters in Inland and Coastal Waters (Deadline: 31 August 2021)
- Ground Penetrating Radar (GPR) Applications in Civil Infrastructure Systems (Deadline: 31 August 2021)
- Target Recognition in Synthetic Aperture Radar Imagery (Deadline: 31 August 2021)
- Space LiDAR Technologies and Applications (Deadline: 1 September 2021)
- Recent Advances in GNSS Reflectometry (Deadline: 1 September 2021)
- 2D and 3D Mapping with UAV Data (Deadline: 12 September 2021)
- Modelling and Monitoring of Landscapes: 3D Reconstruction and Scene Analysis from Remote Sensing Images (Deadline: 30 September 2021)
- Remote Sensing Data Fusion for Mapping Ecosystem Dynamics (Deadline: 30 September 2021)
- Semantic Interpretation of Remotely Sensed Images (Deadline: 30 September 2021)
- Digital Image Processing (Deadline: 30 September 2021)
- Remote Sensing of Anthropic Impact on the Environment (Deadline: 30 September 2021)
- Interactive Deep Learning for Hyperspectral Images (Deadline: 30 September 2021)
- Applications of Remote Sensing Imagery for Urban Areas (Deadline: 30 September 2021)
- Geospatial Statistics and Spatiotemporal Analysis Based on Remote Sensing Imagery (Deadline: 30 September 2021)
- Techniques and Applications of UAV-Based Photogrammetric 3D Mapping (Deadline: 1 October 2021)
- Spectral Unmixing of Hyperspectral Remote Sensing Imagery (Deadline: 1 October 2021)
- Advanced Methods for Hyperspatial Data Collection and Analyses (Deadline: 1 October 2021)
- Remote Sensing for Shallow and Deep Waters Mapping and Monitoring (Deadline: 31 October 2021)
- Remote Sensing for Underwater Photogrammetry (Deadline: 31 October 2021)
- Interferometric Synthetic Aperture Radar Geodesy (Deadline: 31 October 2021)
- Advances in SAR-Based Monitoring Systems: System Concepts and Data Processing (Deadline: 31 October 2021)
- Deep Learning-Based Cloud Detection for Remote Sensing Images (Deadline: 15 November 2021)
- Object-Based Classification Using Multi-Source Satellite Image Time Series (Deadline: 30 November 2021)
- Multiscale and Multitemporal High-Resolution Remote Sensing for Archaeology (Deadline: 30 November 2021)
- Algorithms for Plant Phenotyping Imaging: Turning Today’s Limitations into Tomorrow’s Strengths (Deadline: 30 November 2021)
- Synthetic Aperture Radar: Methods, Analyses, and Marine Applications (Deadline: 30 November 2021)
- Remote Sensing Data Fusion as a Strategy to Add Value to Earth Observation Data (Deadline: 30 November 2021)
- Advances in Object-Based Image Analysis—Linked with Computer Vision and Machine Learning (Deadline: 1 December 2021)
- Geospatial Techniques for Landslides and Erosion Studies: Data Capture, Monitoring, Analysis and Modelling (Deadline: 31 December 2021)
- Explainable Deep Neural Networks for Remote Sensing Image Understanding (Deadline: 31 December 2021)
- Machine Learning for Remote Sensing Image/Signal Processing (Deadline: 31 December 2021)
- Flood Vulnerability Assessment with Hydrologic/Hydraulic Modeling and Remote Sensing Techniques (Deadline: 31 December 2021)
- Hyperspectral and Multispectral Imaging in Geology (Deadline: 31 December 2021)
- Cropland Monitoring Based on Remote Sensing Imagery (Deadline: 31 December 2021)
- Sensors and Artificial Intelligence in Autonomous Vehicles (Deadline: 31 December 2021)
- Recent Advances in Hyperspectral Image Processing (Deadline: 31 December 2021)
- Application of GIS and RS in Ocean, Island and Coastal Zone (Deadline: 31 December 2021)
- Computer Vision and Machine Learning for Remote Sensing Solutions Applied to Environmental Challenges (Deadline: 31 December 2021)
- Advanced Modelling in Water Resources Using GIS and Remote Sensing Techniques (Deadline: 31 December 2021)
- Advanced Deep Learning techniques for Earth Observation and Applications (Deadline: 31 December 2021)
- 3D Reconstruction and Visualization of Dynamic Object/Scenes Using Data Fusion (Deadline: 31 December 2021)
- Remote Sensing for Habitat Mapping (Deadline: 31 December 2021)
- Computer Vision and Machine Learning Application on Earth Observation (Deadline: 31 December 2021)
- Machine Vision and Advanced Image Processing in Remote Sensing (Deadline: 20 January 2022)
- A Review of Computer Vision for Remote Sensing Imagery (Deadline: 29 January 2022)
- Hyperspectral Remote Sensing of Vegetation Functions (Deadline: 31 January 2022)
- Accuracy Assessment and Validation of Remotely Sensed Data and Product II (Deadline: 1 March 2022)
- Wavelet Transform for Remote Sensing Image Analysis (Deadline: 31 May 2022)
- Estimation of the Surface Solar Irradiance Using Remotely Sensed Data (Deadline: 30 June 2022)
- Artificial Intelligence in Remote Sensing of Atmospheric Environment (Deadline: 30 June 2022)
- Latest Results on GPR Algorithms, Applications and Systems (Deadline: 31 July 2022)
- Nowcasting of Convective Storms Based on Remote Sensing Data Fusion (Deadline: 30 September 2022)
- Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images - 2nd Edition (Deadline: 31 December 2022)
