Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data

Hofmann, Peter

doi:10.3390/rs8060467

Cited by 21 publications

(10 citation statements)

References 24 publications

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“…The fuzzy classification method distinguishes the spatial features on the imagery according to fuzzy rules about the pixels membership functions to give more reliable and realistic outputs. Simultaneously, it will not allow pixels to be incomplete-members of multiple classes, which could lead to ambiguous/uncertain assignation of the resultant classes [31][32][33]. Analysis of the shoreline has determined the progradation of Wandandian deltaic system.…”

Section: Discussionmentioning

confidence: 99%

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Al-Nasrawi

Hopley

Hamylton

et al. 2017

JMSE

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Large numbers of people live along and depend upon the world's coastal resources. Human modifications of the coastal zone, in combination with climate induced environmental changes, have had a major effect on the natural ecological systems. GIS analysis of remote sensed data, combined with fieldwork and laboratory tests, can be used to determine the resultant eco-geomorphic changes that need to be managed sustainably on a worldwide scale. Modelling the eco-geomorphic dynamics between 1949 and 2016 on the Wandandian Creek delta (southeastern NSW, Australia) provides a case study of management options for such coastal resources. Results from the Wandandian Creek delta show that sand/silt sediment derived from the partially (22%) modified terrestrial catchment has prograded into the wave-dominated St. Georges Basin where it is impacted by nearshore processes. Clear spatio-temporal growth of the areal extent and elevation of the deltaic levees and sandspits, with their associated mangroves and saltmarshes, has occurred over the past 65 years. Although the growth rate has fluctuated during the study period, due to flood events in 1974, 1990s and 2010, the overall subaerial and subaqueous delta area has had an average growth of 4168 m 2 annually with the shoreline extending 1.451 m/year on average. This geomorphic growth has stabilised the estuarine deltaic habitats with high proportions of nutrients and organic matter, particularly within saltmarsh, mangrove, Casuarina/Juncus and other mixed native plant areas. This research shows the importance of analysing morphological changes observed on the delta that can be related to both anthropogenic modifications and natural processes to the catchment and thus should be used in the development of catchment and coastal management plans.

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Section: Discussionmentioning

confidence: 99%

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Al-Nasrawi

Hopley

Hamylton

et al. 2017

JMSE

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“…Fuzzy Logic uses membership function from the inputs and pre-defined rules table to calculate the output [9]. Fuzzy logic can calculate the operation with more than one input [8][9][10][11][12]. There are several types of inference methods that were introduced to develop Fuzzy Logic Controller.…”

Section: Introductionmentioning

confidence: 99%

Design of travel angle control of quanser bench-top helicopter using mamdani-based fuzzy logic controller

Mansor

Esa

Gunawan

et al. 2020

IJEECS

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This research focuses on travel angle control of a laboratory scale bench-top helicopter developed by Quanser Inc. Bench top-helicopter is usually used by engineers and researchers to test their designed controllers before applying to the actual helicopter. Bench-top helicopter has the same behavior as the real helicopter, with 3 degree of freedom. The bench-top helicopter is mounted on a flat surface with two rotors that depends on the voltage supplied to change the direction of the helicopter in 3 different angles. The movement of the helicopter is based on the direction of three-different angles; travel, pitch and yaw angles. The existing Linear Quadratic Regulator-Integral controller used by Quanser Inc has some limitations in terms of tracking capability and settling time; therefore, this research is proposed. The objective of this research is to develop Mamdani-based Fuzzy Logic Controller for travel angle control of bench-top helicopter. Performance comparison has been done with the existing Linear Quadratic Regulator-Integral controller in both simulation and hardware. From the test results, it was found that the performance of Fuzzy Logic Controller is better than LQR-I controller especially for closed-loop simulation at desired angle of 30°. The percentage of overshoot of the Fuzzy Logic Controller has been improved from the existing controller which is 4.912% compared to 7.002% for LQR-I. Keywords:Bench-top helicopter Linear quadratic integral controller Mamdani-based fuzzy logic controller Travel angle control

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“…GEOBIA facilitates the development of adaptive and transferable workflows, e.g., through the inclusion of context knowledge and human semantics [30]. There has been significant progress in the GEOBIA community concerning transferability, e.g., through automatic determination of segmentation parameters [31,32] or classification thresholds [33] and fuzzy classification [34]. However, although the workflows are increasingly robust, some adaptions (e.g., of segmentation parameters or classification thresholds) are usually necessary to tune an analysis method to a specific study area or image type [35,36].…”

Section: Balancing Reproducibility and Customizability For Practical mentioning

confidence: 99%

Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers

Knoth

Nüst

2017

Remote Sensing

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Geographic Object-Based Image Analysis (GEOBIA) mostly uses proprietary software, but the interest in Free and Open-Source Software (FOSS) for GEOBIA is growing. This interest stems not only from cost savings, but also from benefits concerning reproducibility and collaboration. Technical challenges hamper practical reproducibility, especially when multiple software packages are required to conduct an analysis. In this study, we use containerization to package a GEOBIA workflow in a well-defined FOSS environment. We explore the approach using two software stacks to perform an exemplary analysis detecting destruction of buildings in bi-temporal images of a conflict area. The analysis combines feature extraction techniques with segmentation and object-based analysis to detect changes using automatically-defined local reference values and to distinguish disappeared buildings from non-target structures. The resulting workflow is published as FOSS comprising both the model and data in a ready to use Docker image and a user interface for interaction with the containerized workflow. The presented solution advances GEOBIA in the following aspects: higher transparency of methodology; easier reuse and adaption of workflows; better transferability between operating systems; complete description of the software environment; and easy application of workflows by image analysis experts and non-experts. As a result, it promotes not only the reproducibility of GEOBIA, but also its practical adoption.

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Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data

Cited by 21 publications

References 24 publications

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Design of travel angle control of quanser bench-top helicopter using mamdani-based fuzzy logic controller

Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers

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