Sensen Chu

TL;DR: A new type of data for landscape study is suggested, and a technique for automatic information acquisition to determine the visual perception of streets is provided, which can effectively reflect the visual attributes of streets.

TL;DR: Results show that the proposed TSBF can obtain bathymetric maps with high accuracy, reliability, and no missing data, outperforming the conventional bathymetry framework based on a single image.

TL;DR: It was determined it is difficult for a single country to implement SAR missions effectively while covering the whole SCS; a joint SAR mechanism would allow for better outcomes regarding the performance of maritime SAR services.

TL;DR: In this paper, the performance of different forcing datasets for trajectory prediction in the South China Sea and the sensitivity of prediction accuracy from selected datasets and model-based methods have been studied using Lagrangian models.

TL;DR: In this article , the authors explored the effectiveness of three general atmospheric correction algorithms, namely Second Simulation of a Satellite Signal in the Solar Spectrum (6S), Atmospheric correction for OLI 'lite' (ACOLITE), and QUICK Atmospheric Correction (QUAC), in depth retrieval from Landsat-8 and Sentinel-2A images using different SDB models over Ganquan Island and Oahu Island.