Welcome to RSTIP
2026 3rd International Conference on Remote Sensing Technology and Image Processing
Countdown to the Conference:
☀ About RSTIP 2026
In recent decades, remote sensing and image processing technologies have undergone swift evolution, significantly expanding their scope and becoming integral components of modern technology. On the other hand, the ongoing integration and advancement of emerging technologies like artificial intelligence, big data, and cloud computing have expanded the application potential of remote sensing and image processing even further. These technologies are now being applied in multiple fields such as geographic information systems (GIS), environmental monitoring, urban planning, agriculture, forestry, marine detection, disaster management, and military reconnaissance. As a result, sharing state-of-the-art research, technological breakthroughs, real-world applications, and strategies for addressing challenges in these areas is crucial for fostering scientific advancement and technological innovation.
RSTIP 2026 will showcase keynote speeches by esteemed industry experts and scholars, featuring oral presentations, poster displays, and technical exhibitions. The aim is to foster communication and collaboration among participants, driving collective progress in remote sensing and image processing technologies. We extend a warm invitation to industry leaders and scholars worldwide to join us in RSTIP 2026, where we'll collectively explore and shape the future trends of these critical technologies.
Committee
 | December 25-27, 2026 Conference Dates |
| October 10, 2026 Full Paper Submission Date |
 | November 10, 2026 Registration Deadline |
 | November 25, 2026 Final Paper Submission Date |
☀ Topics
The topics of interest for submission include, but are not limited to:
Remote Sensing Technology
High resolution remote sensing image classification method based on deep learning; Multi-scale analysis and interpretation of Remote sensing images; Time series remote sensing data analysis; Application of artificial intelligence and machine learning in remote sensing; Fusion technology of optical and radar ( SAR ) remote sensing data; Data fusion of remote sensing and geographic information system ( GIS ); Multi-sensor and multi-temporal data fusion analysis; Intelligent memory and retrieval technology of remote sensing data; Application of augmented reality ( VR ) in remote sensing; Remote sensing image processing and geographic information system ( GIS ) application; Microwave remote sensing technology and application; Space remote sensing technology; Spectral remote sensing; Nighttime light remote sensing;
Image Processing Technology
Super-resolution image processing; Heterogeneous image fusion technology; Image compression, enhancement and reconstruction technology; Image segmentation, feature extraction and pattern recognition; Video image processing and analysis; 3D reconstruction and modeling technology; Edge detection and object recognition; Image recognition and automatic interpretation technology; Pattern recognition and artificial intelligence; Application of deep learning technology in image recognition;
Application Fields of Remote Sensing and Image Processing
Intelligent transportation; Recognition and tracking of autonomous vehicle; Urban remote sensing applications; Climate change and remote sensing; Monitoring of marine ecosystem; Precision agriculture and forestry management;
☀ Publication
Submitted paper will be peer reviewed by conference committees, and all accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.