Optimal Ground Control Points for Geometric Correction Using Genetic Algorithm with Global Accuracy

Nguyen, Thanh

doi:10.5721/eujrs20154807

Cited by 35 publications

(14 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accuracy of the three above mentioned maps, produced in this research (two that determined the water body and one that reported the land cover data for the entire water basin) was calculated according to the confusion matrix (Story & Congalton, 1986). The realization of the matrix made it possible to verify the real correspondence of the randomly distributed control points for each investigated class of land cover (Nguyen, 2015).…”

Section: Resultsmentioning

confidence: 99%

Estimating vulnerability of water body using Sentinel-2 images and environmental modelling: the study case of Bracciano Lake (Italy)

Giuliani

Caronte-Veisz

Piccinno

et al. 2019

European Journal of Remote Sensing

View full text Add to dashboard Cite

Due to the concomitance of several factors related to progressive climate changes and to increased water management for anthropogenic usage, drastic fall in level of Bracciano Lake, a volcanic lake, 30 km northwest of Rome, was reported. In November 2017 the water level decreased 1.98 m below the hydrometric zero. Vulnerability to eutrophication was investigated by determination of the lake water volume and the related phosphorus concentration. At this purpose, the bathymetry layer of the water body and the application of supervised classification of Sentinel-2 images allowed to quantify the water body and to define the coastline shape. Once calculated the hydrometric reduction in water body after the hydrometric crisis, occurred in 2017, Vollenweider model allowed to estimate nutrient concentration (around 100.93 µg/l) and the relative increase of the eutrophication status (+2.3% per liter). According to the lake water quality classification proposed by the OECD, we classified the lake as a very eutrophic lake with a hypertrophic level in the period of water crisis. The proposed methodology represents an efficient monitoring tool for assessing the vulnerability of water bodies influenced by eutrophication. ARTICLE HISTORY

show abstract

Section: Resultsmentioning

confidence: 99%

Estimating vulnerability of water body using Sentinel-2 images and environmental modelling: the study case of Bracciano Lake (Italy)

Giuliani

Caronte-Veisz

Piccinno

et al. 2019

European Journal of Remote Sensing

View full text Add to dashboard Cite

show abstract

“…The purpose of the GC is to correct the deformations that occur during imaging [ 30 ]. GC methods are divided into parametric and non-parametric models [ 31 ].…”

Section: Preprocessing Methodsmentioning

confidence: 99%

On-Board, Real-Time Preprocessing System for Optical Remote-Sensing Imagery

Shi

Zhuang

et al. 2018

Sensors

View full text Add to dashboard Cite

With the development of remote-sensing technology, optical remote-sensing imagery processing has played an important role in many application fields, such as geological exploration and natural disaster prevention. However, relative radiation correction and geometric correction are key steps in preprocessing because raw image data without preprocessing will cause poor performance during application. Traditionally, remote-sensing data are downlinked to the ground station, preprocessed, and distributed to users. This process generates long delays, which is a major bottleneck in real-time applications for remote-sensing data. Therefore, on-board, real-time image preprocessing is greatly desired. In this paper, a real-time processing architecture for on-board imagery preprocessing is proposed. First, a hierarchical optimization and mapping method is proposed to realize the preprocessing algorithm in a hardware structure, which can effectively reduce the computation burden of on-board processing. Second, a co-processing system using a field-programmable gate array (FPGA) and a digital signal processor (DSP; altogether, FPGA-DSP) based on optimization is designed to realize real-time preprocessing. The experimental results demonstrate the potential application of our system to an on-board processor, for which resources and power consumption are limited.

show abstract

“…The required number of GCPs, their spatial distribution and their accuracy are the most important issues in selecting GCPs for accuracy assessment of DEMs (Höhle and Höhle 2009). General guideline for the number of GCPs is that they must be large enough and uniformly distributed all over the test area to obtain reliable accuracy measures (Nguyen 2015;Oniga et al 2018). In this paper, we rely on this general guideline about the necessity of uniformly distributed GCPs and proposed and justified equation 1 to calculate required number of GCPs using a defined confidence interval for RMSE.…”

Section: Required Number Of Gcpsmentioning

confidence: 99%

“…Some researchers performed the accuracy assessment of GDEMs globally (Rodriguez et al 2006) while some others investigated their accuracy in a local area (Rexer and Hirt 2014;Zhao et al 2011). However, the optimum number of Ground Control Points (GCPs) has been always a concern for evaluating the accuracy of spatial data such as georeferenced images (Nguyen 2015;Oniga et al 2018), and DEMs (Höhle and Höhle 2009). Accordingly, in this paper an innovative method is proposed to determine the required number of GCPs for assessing the accuracy of DEMs.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of DEMs in Different Topographic Complexity Based on an Optimum Number of GCP Formulation and Error Propagation Analysis

2020

View full text Add to dashboard Cite

One of the main concerns during DEM evaluation is the number of ground control points (GCP). Accordingly, in this paper, a new method is proposed for calculating the appropriate number of GCPs for DEM evaluation based on a Confidence Interval (CI) of RMSE. Then, the method is employed to determine the CI of the estimated vertical accuracy of AW3D30, SRTM and ASTER GDEM Free 30m resolution global DEMs in mountainous, hilly, flat and urban regions of two study areas. To provide a more reliable estimation of errors, robust statistical methods including Median, Normalized Median Absolute Deviation (NMAD) and Huber's µ and σ are also investigated. Furthermore, a new formulation is developed to analyse propagation of the errors in slope and aspect products of DEM. The results showed that to evaluate the accuracy of AW3D30, ASTER GDEM and SRTM with a CI of ±1m and the probability of 99%, in the study area, a minimum number of 2110, 1483 and 750 GCPs are required, respectively. The results also showed that in the flat, hilly and mountainous study areas AW3D30 is the most accurate DEM. However, SRTM fits better to the urban study area. Finally, the results of the error propagation analysis illustrates that the slope and aspect errors bear a striking relation to the surface gradient.

show abstract

Optimal Ground Control Points for Geometric Correction Using Genetic Algorithm with Global Accuracy

Cited by 35 publications

References 26 publications

Estimating vulnerability of water body using Sentinel-2 images and environmental modelling: the study case of Bracciano Lake (Italy)

Estimating vulnerability of water body using Sentinel-2 images and environmental modelling: the study case of Bracciano Lake (Italy)

On-Board, Real-Time Preprocessing System for Optical Remote-Sensing Imagery

Accuracy Assessment of DEMs in Different Topographic Complexity Based on an Optimum Number of GCP Formulation and Error Propagation Analysis

Contact Info

Product

Resources

About