A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems
In recent years, remote sensing image processing technology has developed rapidly, and the variety of remote sensing images has increased. Solving a geographic problem often requires multiple remote sensing images to be used together. For an image processing analyst, it is difficult to become profic...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/21/4394 |
| _version_ | 1797631990216785920 |
|---|---|
| author | Xueshen Zhang Qiulan Wu Feng Zhang Xiang Sun Huarui Wu Shumin Wu Xuefei Chen |
| author_facet | Xueshen Zhang Qiulan Wu Feng Zhang Xiang Sun Huarui Wu Shumin Wu Xuefei Chen |
| author_sort | Xueshen Zhang |
| collection | DOAJ |
| description | In recent years, remote sensing image processing technology has developed rapidly, and the variety of remote sensing images has increased. Solving a geographic problem often requires multiple remote sensing images to be used together. For an image processing analyst, it is difficult to become proficient in the image processing of multiple types of remote sensing images. Therefore, it is necessary to have multiple image processing analysts collaborate to solve geographic problems. However, as a result of the naturally large volumes of data and the computer resources they consume for analysis, remote sensing images present a barrier in the collaboration of multidisciplinary remote sensing undertakings and analysts. As a result, during the development of the collaborative analysis process, it is necessary to achieve the online processing and analysis of remote sensing images, as well as to standardize the online remote sensing image collaborative analysis process. To address the above issues, a hierarchical collaborative online processing and analysis framework was developed in this paper. This framework defined a clear collaborative analysis structure, and it identifies what kinds of online image processing and analysis activities participants can engage in to successfully conduct collaborative processes. In addition, a collaborative process construction model and an online remote sensing image processing analysis model were developed to assist participants in creating a standard collaborative online image processing and analysis process. In order to demonstrate the feasibility and effectiveness of the framework and model, this paper developed a collaborative online post-disaster assessment process that utilizes radar images and optical remote sensing images for a real forest fire event. This process was based on the BPMN2.0 and OGC dual standards. Based on the results, the proposed framework provides a hierarchical collaborative remote sensing image processing and analysis process with well-defined stages and activities to guide the participants’ mutual collaboration. Additionally, the proposed model can help participants to develop a standardized collaborative online image processing process in terms of process structure and information interactions. |
| first_indexed | 2024-03-11T11:31:30Z |
| format | Article |
| id | doaj.art-3cfbe9ce764945b28202ccbc7dd97541 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T11:31:30Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-3cfbe9ce764945b28202ccbc7dd975412023-11-10T15:01:15ZengMDPI AGElectronics2079-92922023-10-011221439410.3390/electronics12214394A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic ProblemsXueshen Zhang0Qiulan Wu1Feng Zhang2Xiang Sun3Huarui Wu4Shumin Wu5Xuefei Chen6School of Information Science & Engineering, Shandong Agricultural University, Tai’an 271018, ChinaSchool of Information Science & Engineering, Shandong Agricultural University, Tai’an 271018, ChinaSchool of Information Science & Engineering, Shandong Agricultural University, Tai’an 271018, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaResearch Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, ChinaSchool of Information Science & Engineering, Shandong Agricultural University, Tai’an 271018, ChinaSchool of Information Science & Engineering, Shandong Agricultural University, Tai’an 271018, ChinaIn recent years, remote sensing image processing technology has developed rapidly, and the variety of remote sensing images has increased. Solving a geographic problem often requires multiple remote sensing images to be used together. For an image processing analyst, it is difficult to become proficient in the image processing of multiple types of remote sensing images. Therefore, it is necessary to have multiple image processing analysts collaborate to solve geographic problems. However, as a result of the naturally large volumes of data and the computer resources they consume for analysis, remote sensing images present a barrier in the collaboration of multidisciplinary remote sensing undertakings and analysts. As a result, during the development of the collaborative analysis process, it is necessary to achieve the online processing and analysis of remote sensing images, as well as to standardize the online remote sensing image collaborative analysis process. To address the above issues, a hierarchical collaborative online processing and analysis framework was developed in this paper. This framework defined a clear collaborative analysis structure, and it identifies what kinds of online image processing and analysis activities participants can engage in to successfully conduct collaborative processes. In addition, a collaborative process construction model and an online remote sensing image processing analysis model were developed to assist participants in creating a standard collaborative online image processing and analysis process. In order to demonstrate the feasibility and effectiveness of the framework and model, this paper developed a collaborative online post-disaster assessment process that utilizes radar images and optical remote sensing images for a real forest fire event. This process was based on the BPMN2.0 and OGC dual standards. Based on the results, the proposed framework provides a hierarchical collaborative remote sensing image processing and analysis process with well-defined stages and activities to guide the participants’ mutual collaboration. Additionally, the proposed model can help participants to develop a standardized collaborative online image processing process in terms of process structure and information interactions.https://www.mdpi.com/2079-9292/12/21/4394collaborationonline remote sensing image processingOGCBPMN2.0 |
| spellingShingle | Xueshen Zhang Qiulan Wu Feng Zhang Xiang Sun Huarui Wu Shumin Wu Xuefei Chen A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems Electronics collaboration online remote sensing image processing OGC BPMN2.0 |
| title | A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems |
| title_full | A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems |
| title_fullStr | A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems |
| title_full_unstemmed | A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems |
| title_short | A Novel Standardized Collaborative Online Model for Processing and Analyzing Remotely Sensed Images in Geographic Problems |
| title_sort | novel standardized collaborative online model for processing and analyzing remotely sensed images in geographic problems |
| topic | collaboration online remote sensing image processing OGC BPMN2.0 |
| url | https://www.mdpi.com/2079-9292/12/21/4394 |
| work_keys_str_mv | AT xueshenzhang anovelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT qiulanwu anovelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT fengzhang anovelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT xiangsun anovelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT huaruiwu anovelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT shuminwu anovelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT xuefeichen anovelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT xueshenzhang novelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT qiulanwu novelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT fengzhang novelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT xiangsun novelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT huaruiwu novelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT shuminwu novelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems AT xuefeichen novelstandardizedcollaborativeonlinemodelforprocessingandanalyzingremotelysensedimagesingeographicproblems |