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:
- Artificial Intelligence Algorithm for Remote Sensing Imagery Processing Ⅱ (Deadline: 31 May 2023)
- Machine Vision and Advanced Image Processing in Remote Sensing II (Deadline: 31 May 2023)
- 3D Information Recovery and 2D Image Processing for Remotely Sensed Optical Images (Deadline: 31 May 2023)
- Multi-Sensor, Multi-Resolution and Multi-Scale Data Fusion for Geophysical Characterization of Outcrops (Deadline: 31 May 2023)
- Remote Sensing of Anthropic Impact on the Environment (Deadline: 31 May 2023)
- Unmanned Aerial Vehicles (UAV): New Solutions and Applications for Real-Life Tasks (Deadline: 31 May 2023)
- Applications of Internet of Things and Intelligent Sensors in Remote Sensing (Deadline: 31 May 2023)
- Nowcasting of Convective Storms Based on Remote Sensing Data Fusion (Deadline: 31 May 2023)
- SAR Images Processing and Analysis (Deadline: 31 May 2023)
- Remote Sensing Image Scene Classification Meets Artificial Intelligence (Deadline: 31 May 2023)
- Deep Learning for Hyperspectral Image Classification (Deadline: 1 June 2023)
- Recent Applications and Techniques of Hyperspectral Imaging in Remote Sensing (Deadline: 15 June 2023)
- New Advancements in Remote Sensing Image Processing (Deadline: 16 June 2023)
- Machine Learning for Multi-Source Remote Sensing Images Analysis (Deadline: 16 June 2023)
- Information Extraction from High Spatial Resolution Satellite Images (Deadline: 23 June 2023)
- Advanced Super-resolution Methods in Remote Sensing (Deadline: 30 June 2023)
- Pattern Recognition in Hyperspectral Remote Sensing (Deadline: 30 June 2023)
- Advances in Deep Learning Models for Satellite Image Analysis (Deadline: 30 June 2023)
- Image Processing and Analysis: Trends in Registration, Data Fusion, 3D Reconstruction, and Change Detection II (Deadline: 30 June 2023)
- Computer Vision and Image Processing in Remote Sensing (Deadline: 30 June 2023)
- Copernicus Sentinels Missions Calibration, Validation, FRM and Innovation Approaches in Satellite-Data Quality Assessment (Deadline: 30 June 2023)
- Digital Photogrammetry and Laser Scanning in Cultural Heritage Survey (Deadline: 30 June 2023)
- Advanced Machine Learning Approaches for Analysis of Remote Sensing Images (Deadline: 30 June 2023)
- Advances in Hyperspectral Data Exploitation II (Deadline: 30 June 2023)
- Accuracy Assessment and Validation of Remotely Sensed Data and Product II (Deadline: 30 June 2023)
- Pattern Recognition and Image Processing for Remote Sensing II (Deadline: 30 June 2023)
- Satellite Soil Moisture Estimation, Assessment, and Applications (Deadline: 30 June 2023)
- Active Learning Methods for Remote Sensing Image Classification (Deadline: 30 June 2023)
- Pan-Sharpening Methods for Remotely Sensed Images (Deadline: 30 June 2023)
- Remote Sensing Image Processing in Poland (Deadline: 30 June 2023)
- Applications of Smart Multimedia in Remote Sensing (Deadline: 30 June 2023)
- Editorial Board Members’ Collection Series: Advances in Remote Sensing Image Analysis and Data Fusion (Deadline: 15 July 2023)
- Photogrammetric Computer Vision in Remote Sensing (Deadline: 15 July 2023)
- Recent Progress in Remote Sensing of Land Cover Change (Deadline: 15 July 2023)
- Recent Trends for Image Restoration Techniques Used in Remote Sensing (Deadline: 21 July 2023)
- Long-Wave-Infrared Hyperspectral Imaging Process (Deadline: 23 July 2023)
- Advances in Radar Systems for Target Detection and Tracking (Deadline: 31 July 2023)
- Advanced Sensing and Image Processing in Agricultural Applications (Deadline: 31 July 2023)
- Feature Selection from SAR Images for Terrain Surface Classification (Deadline: 31 July 2023)
- Advanced Artificial Intelligence Algorithm for the Analysis of Remote Sensing Images II (Deadline: 31 July 2023)
- Analysis of SAR/InSAR Data in Geoscience (Deadline: 31 July 2023)
- Advances in Deep Fusion of Multi-Source Remote Sensing Images (Deadline: 31 July 2023)
- Machine Learning Methods Applied to Optical Satellite Images (Deadline: 31 July 2023)
- Explainable Deep Neural Networks for Remote Sensing Image Understanding II (Deadline: 31 July 2023)
- Multi-Platform and Multi-Modal Remote Sensing Data Fusion with Advanced Deep Learning Techniques (Deadline: 31 July 2023)
- Hyperspectral Object Tracking (Deadline: 13 August 2023)
- Advance in SAR Image Despeckling (Deadline: 15 August 2023)
- Multi-Sensor Systems and Data Fusion in Remote Sensing II (Deadline: 25 August 2023)
- Classification and Feature Extraction from Remote Sensing Imagery and Point Cloud Data (Deadline: 31 August 2023)
- Deep Learning Methods for Hyperspectral Image Processing with Limited Labeled Samples (Deadline: 31 August 2023)
- Software and Hardware Development for Applications Using Point or Imaging Spectroscopy Data (Deadline: 31 August 2023)
- Advanced Learning Techniques for Remote Sensing Image Quality Improvement (Deadline: 31 August 2023)
- Urban Growth Monitoring and Modeling Using Historical Earth Observation Satellite Data (Deadline: 31 August 2023)
- Hyperspectral Remote Sensing of Vegetation Functions: Assessing Vegetation Ecophysiology II (Deadline: 31 August 2023)
- Optical Sensing for Agricultural Applications (Deadline: 31 August 2023)
- New Methods and Approaches in Airborne Hyperspectral Data Processing (Deadline: 31 August 2023)
- Remote Sensing Image Classification and Semantic Segmentation (Deadline: 31 August 2023)
- Image Change Detection Research in Remote Sensing II (Deadline: 31 August 2023)
- Spectral-Spatial Segmentation and Classification of Remotely Sensed Hyperspectral Images (Deadline: 31 August 2023)
- New Trends of GEOBIA in Remote Sensing (Deadline: 31 August 2023)
- Self-Supervised Learning in Remote Sensing (Deadline: 10 September 2023)
- Deep Learning in Optical Satellite Images (Deadline: 15 September 2023)
- Deep Learning for Satellite Image Segmentation (Deadline: 15 September 2023)
- Remote Sensing of the Dead Sea Region (Deadline: 15 September 2023)
- Convolutional Neural Network Applications in Remote Sensing II (Deadline: 15 September 2023)
- Deep Learning in Environmental Remote Sensing: Challenges, Innovations, and Achievements (Deadline: 29 September 2023)
- Spaceborne High-Resolution SAR Imaging (Deadline: 30 September 2023)
- Deep Learning Meets Remote Sensing for Earth Observation and Monitoring (Deadline: 30 September 2023)
- Leveraging the Advances in Machine Learning for Object Detection in Earth Observation Data (Deadline: 30 September 2023)
- Deep Learning for Remote Sensing Image Classification II (Deadline: 30 September 2023)
- Advances in Radar, Optical, Hyperspectral, Infrared, and Sonar Technology: Data Acquisition, Processing, and Applications (Deadline: 30 September 2023)
- Computational Intelligence in Hyperspectral Remote Sensing (Deadline: 30 September 2023)
- Radar and Sonar Imaging and Processing IV (Deadline: 15 October 2023)
- Exploitation SAR Data Using Deep Learning Approaches (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)
- 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)
- 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)
- Active Learning Methods for Remote Sensing Data Processing (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)
- Deep Neural Networks for Hyperspectral Remote Sensing Image Processing (Deadline: 31 December 2023)
- Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images - 2nd Edition (Deadline: 31 December 2023)
- Deep Learning and Explainable AI (XAI) for Next Level Information Extraction from Remote Sensing Imagery (Deadline: 31 January 2024)
- Advances in Radar Remote Sensing Processing and Applications (Deadline: 31 January 2024)
- Scientific Applications of Imaging Spectroscopy from Laboratory to Spaceborne Observation Scale (Deadline: 31 January 2024)
- State-of-the-Art LIDAR Technologies (Deadline: 31 March 2024)
- Advances in Hyperspectral Remote Sensing Image Processing (Deadline: 31 July 2024)
