An airborne Position and Orientation System (POS) for remote sensing and its current state

2017 ◽  
Author(s):  
Zhai Fengguang ◽  
Jianli Li ◽  
Ye Wen ◽  
Gu Bin ◽  
Lu Zhaoxing ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Current State ◽  
Orientation System ◽  
Position And Orientation

scholarly journals Research on the Gravity Disturbance Compensation Terminal for High-Precision Position and Orientation System

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4932
Author(s):  
Zhuangsheng Zhu ◽  
Hao Tan ◽  
Yue Jia ◽  
Qifei Xu
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
High Precision ◽  
Gravity Data ◽  
Flight Test ◽  
Disturbance Compensation ◽  
Gravity Disturbance ◽  
Orientation System ◽  
Aerial Remote Sensing ◽  
Position And Orientation

The Position and Orientation System (POS) is the core device of high-resolution aerial remote sensing systems, which can obtain the real-time object position and collect target attitude information. The goal of exceeding 0.015°/0.003° of its real-time heading/attitude measurement accuracy is unlikely to be achieved without gravity disturbance compensation. In this paper, a high-precision gravity data architecture for gravity disturbance compensation technology is proposed, and a gravity database with accuracy better than 1 mGal is constructed in the test area. Based on the “Block-Time Variation” Markov Model (B-TV-MM), a gravity disturbance compensation device is developed. The gravity disturbance compensation technology is applied to POS products for the first time, and is applied in the field of aerial remote sensing. Flight test results show that the heading accuracy and attitude accuracy of POS products are improved by at least 6% and 16%, respectively. The device can be used for the gravity disturbance compensation of various inertial technology products.

A Real-time Gravity Compensation Method for a High-Precision Airborne Position and Orientation System based on a Gravity Map

2017 ◽  
Vol 71 (3) ◽  
pp. 711-728 ◽  
Author(s):  
Zhuangsheng Zhu ◽  
Yiyang Guo ◽  
Wen Ye
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
High Precision ◽  
Compensation Method ◽  
Gravity Compensation ◽  
Gravity Disturbance ◽  
Airborne Remote Sensing ◽  
Orientation System ◽  
Position And Orientation ◽  
Gravity Map

Motion compensation is a significant part of an airborne remote sensing system. A Position and Orientation System (POS) can directly measure the motion information of an airborne remote sensing payload that can improve the quality of airborne remote sensing images. Gravity disturbance, information on which is often ignored due to being difficult to acquire in real-time, has become the main error source of POS in the development of inertial components. In this paper, a new real-time gravity compensation method is proposed, which includes the gravity disturbance as the error states of a POS Kalman filter, and an accurate gravity disturbance model is constructed using a time-varying Gaussian-Markov model based on a high-precision gravity map, whose resolution is enhanced by a new interpolation method based on Gaussian Process Regression (GPR). A flight experiment was conducted to evaluate the efficiency of the proposed method and the results showed that the proposed method performs well when compared with other real-time gravity compensation methods.

scholarly journals Remote sensing of sun-induced chlorophyll-a fluorescence in inland and coastal waters: Current state and future prospects

2021 ◽  
Vol 262 ◽  
pp. 112482
Author(s):  
Remika S. Gupana ◽  
Daniel Odermatt ◽  
Ilaria Cesana ◽  
Claudia Giardino ◽  
Ladislav Nedbal ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Chlorophyll A ◽  
Coastal Waters ◽  
Chlorophyll A Fluorescence ◽  
Future Prospects ◽  
Current State

scholarly journals Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery

2018 ◽  
Vol 7 (12) ◽  
pp. 458 ◽  
Author(s):  
Peter Fischer ◽  
Seyed Majid Azimi ◽  
Robert Roschlaub ◽  
Thomas Krauß
Keyword(s):  
Remote Sensing ◽  
Autonomous Driving ◽  
Quality Parameters ◽  
Random Forest Classifier ◽  
Data Sources ◽  
Aerial Imagery ◽  
Remote Sensing Technology ◽  
Current State ◽  
Lane Marking ◽  
Sensing Technology

The upraise of autonomous driving technologies asks for maps characterized bya broad range of features and quality parameters, in contrast to traditional navigation maps which in most cases are enriched graph-based models. This paper tackles several uncertainties within the domain of HD Maps. The authors give an overview about the current state in extracting road features from aerial imagery for creating HD maps, before shifting the focus of the paper towards remote sensing technology. Possible data sources and their relevant parameters are listed. A random forest classifier is used, showing how these data can deliver HD Maps on a country-scale, meeting specific quality parameters.

scholarly journals Estimation of forest cover restoration damaged by Siberian silkmoth using remote sensing data and maps

2019 ◽  
Vol 75 ◽  
pp. 02005
Author(s):  
Elena Fedotova
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Tree Species ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Deciduous Forests ◽  
Sensing Data ◽  
Current State

The current state of the land cover has been estimated in the territories where in different years (1885, 1955, 1995) the forests were damaged by Siberian silkmoth. Dark-needle taiga is restored through the change of tree species. In 20 years in areas of dark-needle taiga there are graminoid communities, in 60 years we have deciduous forests there, and in 130 - dark needle forests, but not everywhere.

scholarly journals The Problems of Passive Remote Sensing of the Earth’s Surface in the Range of 1.2–1.6 GHz

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 650
Author(s):  
Gennady V. Golubkov ◽  
Mikhail I. Manzhelii ◽  
Alexandr A. Berlin ◽  
Lev V. Eppelbaum ◽  
Alexey A. Lushnikov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Lower Ionosphere ◽  
Satellite Orbit ◽  
Frequency Range ◽  
Passive Remote Sensing ◽  
Quantum Properties ◽  
Current State ◽  
Decimeter Range ◽  
Propagation Medium ◽  
First Time

The main problems of remote sensing of the Earth’s surface within the frequency range 1.2–1.6 GHz are discussed. They are related to the resonant quantum properties of the radio wave propagation medium in the lower ionosphere. It is shown that, for the passive remote sensing, the main source is incoherent microwave radiation of the D and E ionospheric layers in the decimeter range. For the first time, a theoretically grounded principally new scheme of measurements is suggested. The scheme assumes that the radiation source exists below the satellite orbit and accounts for the fact that two types of radiation (direct and reflected) reach the satellite sensor. The separation of the respective fluxes is a serious problem that should be solved for the correct interpretation of the measurements. The question is raised regarding the correct calibration of measuring equipment, depending on the current state of the ionosphere.

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