Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather

作者：Jiasai Luo, Sen Zhou, Yiming Li, Yu Pang, Zhengwen Wang, Yi Lü, Huiqian Wang, Tong Bai · 发表于：Remote Sensing · 年份：2023 · DOI：10.3390/rs15051225 · 被引用次数：10 · 研究领域：Impact of Light on Environment and Health、Optical Polarization and Ellipsometry、Infrared Target Detection Methodologies

Autonomous navigation technology is a core technology for intelligent operation, allowing the vehicles to perform tasks without relying on external information, which effectively improves the concealability and reliability. In this paper, based on the previous research on the bionic compound eye, a multi-channel camera array with different polarization degrees was used to construct the atmospheric polarization state measurement platform. A polarization trough threshold segmentation algorithm was applied to study the distribution characteristics and characterization methods of polarization states in atmospheric remote sensing images. In the extracted polarization feature map, the tilting suggestion box was obtained based on the multi-direction window extraction network (similarity-based region proposal networks, SRPN) and the rotation of the suggestion box (Rotation Region of interests, RRoIs). Fast Region Convolutional Neural Networks (RCNN) was used to screen the suggestion boxes, and the Non-maximum suppression (NMS) method was used to select the angle, corresponding to the label of the suggestion box with the highest score, as the solar meridian azimuth in the vehicle coordinate system. The azimuth angle of the solar meridian in the atmospheric coordinate system can be calculated by the astronomical formula. Finally, the final heading angle can be obtained according to the conversion relationship between the coordinate systems. By fitting the measured data based on the lea...