The SPIE Remote Sensing and Security + Defence 2018, sponsored by the International Society for Optical Engineering (SPIE), was held in 10-13 September 2018 in Berlin, Germany. Master candidate Zhen Wan from institute of Geomatics Engineering, School of Civil Engineering (SCE) was invited to attended the conference and make an oral presentation.
Over the past 24 years SPIE Remote Sensing has become the largest and most prestigious annual international meeting on this subject in Europe. The 2018 Remote Sensing symposium in Berlin, was the 25th in this series and followed last year’s successful symposium in Warsaw, Poland. The symposium offered eleven conferences covering the most exciting and prosperous areas in the field of remote sensing, such as Image and Signal Processing for Remote Sensing, Remote Sensing for Earth Resources, Environmental Monitoring, GIS Applications and Geology, Remote Sensing Technologies and Applications in Urban Environments, etc. It drew a highly engaged audience of nearly 1200 researchers, engineers, product developers, program managers, and supplier representatives from around the world. Conferences, courses, an industry session, and an exhibition of nearly 40 companies contributed to a successful event.
Master candidate Zhen Wan made an oral presentation about scene classification of multisource remote sensing data with two-stream densely connected convolutional neural network in the conference with theme on deep learning techniques and applications. Scene classification is a hot research topic in the geoscience and remote sensing (RS) community. Currently, the investigations conducted in RS domain mainly use single source data (e.g. multispectral imagery (MSI), hyperspectral imagery (HSI), or light detection and ranging (LiDAR), etc.). However, one of the RS data aforementioned merely provides one certain perspective of the complex scenes while the multisource data fusion can provide complementary and robust knowledge about the objects of interest. Zhen Wan et al aimed at fusing HSI and LiDAR data for scene classification to improve the classification accuracy.
Tuesday's poster session enabled one-on-one discussions with the authors and provided a relaxed setting to network with colleagues.
After the conference, Zhen Wan got an exhibition of nearly 40 companies participating, the two-day SPIE Security + Defence exhibition drew many visitors to booths staffed by industry supplier representatives.
It is reported that the 26th SPIE Remote Sensing symposium will be co-located with the 16th SPIE Security + Defence in Strasbourg, France in 9 - 12 September 2019.
