Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification

Antunes, Rodrigo Rodrigues; Blaschke, Thomas; Tiede, Dirk; Bias, E.S.; Costa, Gilson Alexandre Ostwald Pedro da; Happ, Patrick Nigri

doi:10.1080/15481603.2018.1538621

Cited by 11 publications

(5 citation statements)

References 42 publications

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“…CesiumJS is a state-of-the-art web-based 3D geospatial engine chosen for the front-end of the system due its ability to quickly visualize and render 3D data. A cloud computing approach for object-based image analysis is essential in classification and analysis of data from UAS [18]. As a web-based system, the front-end is lightweight and easily customizable with JavaScript.…”

Section: Cesiumjs Front-endmentioning

confidence: 99%

A Lightweight, Robust Exploitation System for Temporal Stacks of UAS Data: Use Case for Forward-Deployed Military or Emergency Responders

Marx

Chou

Mercy

et al. 2019

Drones

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The availability and precision of unmanned aerial systems (UAS) permit the repeated collection of very-high quality three-dimensional (3D) data to monitor high-interest areas, such as dams, urban areas, or erosion-prone coastlines. However, challenges exist in the temporal analysis of this data, specifically in conducting change-detection analysis on the high-quality point cloud data. These files are very large in size and contain points in varying locations that do not align between scenes. These large file sizes also limit the use of this data for individuals with low computational resources, such as first responders or forward-deployed soldiers. In response, this manuscript presents an approach that aggregates data spatially into voxels to provide the user with a lightweight, web-based exploitation system coupled with a flexible backend database. The system creates a robust set of tools to analyze large temporal stacks of 3D data and reduces data size by 78%, all while being able to query the original point cloud data. This approach offers a solution for organizations analyzing high-resolution, temporal point-clouds, as well as a possible solution for operations in areas with poor computational and connectivity resources requiring high-quality, 3D data for decision support and planning.

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Section: Cesiumjs Front-endmentioning

confidence: 99%

A Lightweight, Robust Exploitation System for Temporal Stacks of UAS Data: Use Case for Forward-Deployed Military or Emergency Responders

Marx

Chou

Mercy

et al. 2019

Drones

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“…There has some significant change in this Sagar block's shoreline and this has been highlighted through the changes in the field of the Ghoramara Islands and Sagar. It highlights that during the time of 2009 along with 2019, the corresponding shoreline field of this Sagar Island has diminished effectively [20]. The particular mouzas are Bakimnagar, Chemguri, Narharipur, Chakfuldubi, Chandipur, Shikarpur, Ramkrishnapur, Gobindabapur (Figures 1-3).…”

Section: "Remote Sensing Data Analysis"mentioning

confidence: 96%

“…The values of this AIC and log-likelihood of this model are 45.714 and 2.375 respectively [24]. Journal of Geographic Information System (Source: [20]). Model 4, the below table highlights regression analysis highlighting productivity change, control variables and land loss (Table 4).…”

Section: "Socio-economic Data Analysis"mentioning

confidence: 99%

Utilization of Geospatial Technology to Track Effects of Global Warming on Climate Changes in India

Oztuna¹

2022

JGIS

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In order to track the global warming issues in India, "Satellite Remote Sensing" can be used effectively and the main reason for choosing this is that it gives climate associated variables with a massive regional coverage and global coverage. The survey has been effectively conducted through Ipsos and through this survey it can be stated that the global warming issue of India is increasing day by day. In addition, effective materials and methods have been highlighted and four models in this material part have been shown in a succinct manner. Uncertainty, poverty and the weak role of the local government are the major factors and these factors are increasing the climate risk issue.

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“…Yang et al [20] presented a cyber-infrastructure for real-time forest mapping and estimation integrating cloud computing applications included the GEE and the Google Cloud Platform. Antunes et al [21] introduced a cloud computing approach for objectbased image analysis and classification of arbitrarily sizable remote sensing datasets. Sagan et al [22] investigated the monitoring of inland water quality using EO data and discussed the limitations of machine learning and cloud computing.…”

Section: Introductionmentioning

confidence: 99%

An Implementation of Open Source-Based Software as a Service (SaaS) to Produce TOA and TOC Reflectance of High-Resolution KOMPSAT-3/3A Satellite Image

Kim

Lee

2021

Remote Sensing

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The majority of cloud applications are created or delivered to provide users with access to system resources or prebuilt processing algorithms for efficient data storage, management, and production. The number of cases linking cloud computing to the use of global observation satellite data continues to rise, owing to the benefits of cloud computing. This study aims to develop a cloud software as a service (SaaS) that yields reflectance products in high-resolution Korea Multi-Purpose Satellite (KOMPSAT)-3/3A satellite images. The SaaS model was designed as three subsystems: a Calibration Processing System (CPS), a Request System for CPS supporting RESTful application programming interface (API), and a Web Interface Application System. Open-source components, libraries, and frameworks were used in this study’s SaaS, including an OpenStack for infrastructure as a service. An absolute atmospheric correction scheme based on a Second Simulation of a Satellite Signal in the Solar Spectrum (6S) radiative transfer code with atmospheric variable inputs was used to generate the top-of-atmosphere (TOA) and top-of-canopy (TOC) reflectance products. The SaaS implemented in this study provides users with the absolute atmospheric calibration functionality to apply their KOMPSAT-3/3A satellite image set through a web browser and obtain output directly from this service. According to experiments to check the total performance time for images, bundled with four bands of red, green, blue, and near-infrared, it took approximately 4.88 min on average for the execution time to obtain all reflectance results since satellite images were registered into the SaaS. The SaaS model proposed and implemented in this study can be used as a reference model for the production system to generate reflectance products from other optical sensor images. In the future, SaaS, which offers professional analysis functions based on open source, is expected to grow and expand into new application fields for public users and communities.

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Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification

Cited by 11 publications

References 42 publications

A Lightweight, Robust Exploitation System for Temporal Stacks of UAS Data: Use Case for Forward-Deployed Military or Emergency Responders

A Lightweight, Robust Exploitation System for Temporal Stacks of UAS Data: Use Case for Forward-Deployed Military or Emergency Responders

Utilization of Geospatial Technology to Track Effects of Global Warming on Climate Changes in India

An Implementation of Open Source-Based Software as a Service (SaaS) to Produce TOA and TOC Reflectance of High-Resolution KOMPSAT-3/3A Satellite Image

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