Advanced Sensor Technologies in Geospatial Sciences and Engineering 2020
Hyung-Sup Jung, Sang‐Hoon Hong, Lei Zhang · Journal of Sensors · 2023
Advanced sensor technologies in geospatial sciences and engineering research have contributed to (1) geographic mapping and (2) understanding the geological, ecological, hydrological, and environmental characteristics of Earth surfaces.Various studies on recent advances in sensor technology in geospatial sciences and engineering have been found in several special issues.In this special issue, a total of 19 original research articles addressing the advanced sensor technologies in the geospatial sciences and engineering have been published.The papers published in this special issue can be summarized as follows: R. Han et al. in their paper entitled "Advantage of Combining OBIA and Classifier Ensemble Method for Very High-Resolution Satellite Imagery Classification" tested the feasibility of GF-1 and GF-2 very high-resolution imagery in urban land use and land cover classification using the random forest ensemble classifier with the object-based image analysis (OBIA) method.Y. Shi et al. in their paper entitled "On Time-Series InSAR by SA-SVR Algorithm: Prediction and Analysis of Mining Subsidence" integrated the small baseline subset SAR interferometry (SBAS-InSAR) method into the simulated annealing support vector regression (SA-SVR) algorithm for mining subsidence prediction.Y. Song et al. in their paper entitled "Hybrid PSO and Evolutionary Game Theory Protocol for Clustering and Routing in Wireless Sensor Network" proposed an efficient