Application of Object-oriented Classification with Hierarchical Multi-Scale Segmentation for Information Extraction in Nonoc Nickel Mine, the Philippines

2018 ◽  
Author(s):  
Li CHEN ◽  
Wei LI ◽  
Xian ZHANG ◽  
Ling CHEN ◽  
Chao CHEN
Keyword(s):  
Information Extraction ◽  
Object Oriented ◽  
The Philippines ◽  
Multi Scale

scholarly journals Pine wilt disease detection in high-resolution UAV images using object-oriented classification

2021 ◽  
Author(s):  
Zhao Sun ◽  
Yifu Wang ◽  
Lei Pan ◽  
Yunhong Xie ◽  
Bo Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Large Scale ◽  
Digital Camera ◽  
Object Oriented ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Segmentation Algorithm ◽  
Tree Crown ◽  
Multi Scale ◽  
Pine Wilt

AbstractPine wilt disease (PWD) is currently one of the main causes of large-scale forest destruction. To control the spread of PWD, it is essential to detect affected pine trees quickly. This study investigated the feasibility of using the object-oriented multi-scale segmentation algorithm to identify trees discolored by PWD. We used an unmanned aerial vehicle (UAV) platform equipped with an RGB digital camera to obtain high spatial resolution images, and multi-scale segmentation was applied to delineate the tree crown, coupling the use of object-oriented classification to classify trees discolored by PWD. Then, the optimal segmentation scale was implemented using the estimation of scale parameter (ESP2) plug-in. The feature space of the segmentation results was optimized, and appropriate features were selected for classification. The results showed that the optimal scale, shape, and compactness values of the tree crown segmentation algorithm were 56, 0.5, and 0.8, respectively. The producer’s accuracy (PA), user’s accuracy (UA), and F1 score were 0.722, 0.605, and 0.658, respectively. There were no significant classification errors in the final classification results, and the low accuracy was attributed to the low number of objects count caused by incorrect segmentation. The multi-scale segmentation and object-oriented classification method could accurately identify trees discolored by PWD with a straightforward and rapid processing. This study provides a technical method for monitoring the occurrence of PWD and identifying the discolored trees of disease using UAV-based high-resolution images.

scholarly journals Image analysis of self-organized multicellular patterns

2016 ◽  
Vol 2 (1) ◽  
pp. 523-527
Author(s):  
Christian Thies ◽  
Galina Khachaturyan ◽  
Assaf Zemel ◽  
Ralf Kemkemer
Keyword(s):  
Image Processing ◽  
Spatial Information ◽  
Object Oriented ◽  
Processing Method ◽  
General Distribution ◽  
Manual Segmentation ◽  
Organizational Processes ◽  
Indirect Measurements ◽  
Multi Scale ◽  
Self Organized

AbstractAnalysis of multicellular patterns is required to understand tissue organizational processes. By using a multi-scale object oriented image processing method, the spatial information of cells can be extracted automatically. Instead of manual segmentation or indirect measurements, such as general distribution of contrast or flow, the orientation and distribution of individual cells is extracted for quantitative analysis. Relevant objects are identified by feature queries and no low-level knowledge of image processing is required.

Sustainable Manufacturing Analysis Using Activity Based Costing in SysML

2011 ◽  
Author(s):  
Yuriy Romaniw ◽  
Bert Bras ◽  
Tina Guldberg
Keyword(s):  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Functional Model ◽  
Object Oriented ◽  
Analysis Tool ◽  
Activity Based Costing ◽  
Multiple Perspectives ◽  
Multi Scale ◽  
Scale Modeling ◽  
Validation Experiment

This paper outlines an approach for dynamic, multi-scale modeling of manufacturing systems using an Activity Based Cost structure. The purpose of these models is to assess the sustainability of the manufacturing system and aid as a quick, first principle analysis tool for comparing alternatives. The models are constructed using a computer-aided version of the object oriented modeling language SysML. The model, known as the Activity Based Object Oriented Manufacturing Model (or ABOOM Model), is capable of decomposing a system from multiple perspectives, using the same library of activities reducing redundancy and complexity while increasing modularity. The model is built in MagicDraw SysML, using ParaMagic and Mathematica to parse and simulate the model and return numerical results. This paper builds on a project previously presented in its infancy at IDETC/CIE 2009. This paper presents a functional model structure now that the project has matured and nears the next phase of implementation. Executable hypothetical case study instance structures are presented as well as results from a validation experiment performed since the project was first presented. This paper summarizes the results from the case studies as well as the conclusions from the validation experiment.

Information Extraction of High-Resolution Remotely Sensed Imagery Based on Object-Oriented Method

2014 ◽  
Vol 513-517 ◽  
pp. 1527-1531
Author(s):  
Fu Lei Zhan ◽  
Guo Dong Yang ◽  
Xu Qing Zhang ◽  
Xue Feng Niu ◽  
Peng Shao ◽  
...  
Keyword(s):  
High Resolution ◽  
Information Extraction ◽  
World View ◽  
Object Oriented ◽  
Object Oriented Method ◽  
Thematic Map ◽  
Remotely Sensed Imagery ◽  
Rule Sets ◽  
High Resolution Satellite Imagery ◽  
Extract Information

In this study, on the basis of pixel-based classification, object-oriented classification method was used to extract information from high resolution satellite imagery. Select the Binhai New Area as the study area,World View-2 data was selected as data sources, the rule sets of information extraction developing were established firstly, then the parameters of imagery segmentation and classification were tested repeatedly to achieve building hierarchies and map elements. The results showed that object-oriented information extraction method was feasible, and the extracted information was used to produce thematic map on the ArcGIS platform.

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