Image database of low-altitude UAV flights with flight condition-logged for photogrammetry, remote sensing, and computer vision

2020 ◽  
pp. 91-111
Author(s):  
Helosman Valente de Figueiredo ◽  
Osamu Saotome ◽  
Elcio H. Shiguemori ◽  
Paulo Silva Filho ◽  
Vania V. Estrela
Keyword(s):  
Remote Sensing ◽  
Computer Vision ◽  
Image Database ◽  
Flight Condition ◽  
Low Altitude

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

Remote Sensing as a Tool for Archaeological Exploration and Mapping of Archaeological Sites (on the Example of Altai Model Sites)

2019 ◽  
Vol 951 (9) ◽  
pp. 40-54
Author(s):  
E.P. Krupochkin ◽  
S.I. Sukhanov ◽  
D.A. Vorobiev
Keyword(s):  
Remote Sensing ◽  
Computer Vision ◽  
Interdisciplinary Research ◽  
Software Package ◽  
Morphological Analysis ◽  
Remote Sensing Data ◽  
Archaeological Sites ◽  
Freedom Of Choice ◽  
Setting Parameters ◽  
Aerospace Images

The article is devoted to the problem of using remote sensing data for studying and mapping archaeological sites in interdisciplinary research. The purpose of the experiments is to develop a methodology for searching and mapping archeological monuments based on the interpretation of aerospace images. The problem to be solved is formalized search and the procedure of selecting objects. The complex of tasks for ridentifying objects from images cannot be realated only to the field of decryption, it also deals with the field of information processing signals (computer vision), and this is where the great potential for continuing experiments is seen. In the process of implementing the tasks, the Detection Artefacts software package was developed, which is based on noise reduction, filtering, morphological analysis, binarization, etc. Its notable feature is the freedom of choice settings, the ability of setting parameters

scholarly journals Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data

2020 ◽  
Vol 13 (1) ◽  
pp. 86
Author(s):  
Yi Ma ◽  
Qi Jiang ◽  
Xianting Wu ◽  
Renshan Zhu ◽  
Yan Gong ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Air Temperature ◽  
Hybrid Rice ◽  
Remote Sensing Data ◽  
Rice Cultivars ◽  
Sensing Data ◽  
Gauss Function ◽  
Low Altitude ◽  
Rice Phenology ◽  
Heading Stage

Accurate monitoring of hybrid rice phenology (RP) is crucial for breeding rice cultivars and controlling fertilizing amount. The aim of this study is to monitor the exact date of hybrid rice initial heading stage (IHSDAS) based on low-altitude remote sensing data and analyze the influence factors of RP. In this study, six field experiments were conducted in Ezhou city and Lingshui city from 2016 to 2019, which involved different rice cultivars and nitrogen rates. Three low-altitude remote sensing platforms were used to collect rice canopy reflectance. Firstly, we compared the performance of normalized difference vegetation index (NDVI) and red edge chlorophyll index (CIred edge) for monitoring RP. Secondly, double logistic function (DLF), asymmetric gauss function (AGF), and symmetric gauss function (SGF) were used to fit time-series CIred edge for acquiring phenological curves (PC), the feature: maximum curvature (MC) of PC was extracted to monitor IHSDAS. Finally, we analyzed the influence of rice cultivars, N rates, and air temperature on RP. The results indicated that CIred edge was more appropriate than NDVI for monitoring RP without saturation problem. Compared with DLF and AGF, SGF could fit CIred edge without over fitting problem. MC of SGF_CIred edge from all three platforms showed good performance in monitoring IHSDAS with good robustness, R2 varied between 0.82 and 0.95, RMSE ranged from 2.31 to 3.81. In addition, the results demonstrated that high air temperature might cause a decrease of IHSDAS, and the growth process of rice was delayed when more nitrogen fertilizer was applied before IHSDAS. This study illustrated that low-altitude remote sensing technology could be used for monitoring field-scale hybrid rice IHSDAS accurately.

Mapping bathymetry based on waterlines observed from low altitude Helikite remote sensing platform

2015 ◽  
Vol 34 (9) ◽  
pp. 110-116 ◽  
Author(s):  
Young-Heon Jo ◽  
Jin Sha ◽  
Jae-Il Kwon ◽  
Kicheon Jun ◽  
Jinku Park
Keyword(s):  
Remote Sensing ◽  
Sensing Platform ◽  
Low Altitude
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