An Efficient Parallel Block Processing Approach for K -Means Algorithm for High Resolution Orthoimagery Satellite Images

Rashmi, C.; Chaluvaiah, Sunil; Kumar, G. Hemantha

doi:10.1016/j.procs.2016.06.025

Cited by 8 publications

(5 citation statements)

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“…Using k-means to categorize blocks of high-resolution satellite photos was suggested by researcher [2]. Authors [3] developed a segmentation and clustering technique with two phases for classifying land cover in satellite pictures.…”

Section: Literature Surveymentioning

confidence: 99%

“…Many applications, including image classification, object detection in industrial production, medical image analysis, action recognition, and remote sensing, use deep learning and computer vision [1]. There are several uses for satellite image analysis, which is regarded as the primary method of acquiring geographic information [2]. Design, construction, urban planning, and water resource management are all examples of civil engineering.…”

Section: Introductionmentioning

confidence: 99%

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2022

Technium

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The most significant outcomes of remote sensing are maps of Land Use and Land Cover (LULC), which can be controlled by a procedure known as image classification. Using image processing methods, we are developing a system in this effort to categorize satellite photos and extract information. Satellite pictures have been classified into usable and unused areas, as well as sub-classifying each class into numerous further classes. Used satellite photos are further divided into residential, commercial, highway, and agricultural areas, while unused images are divided into forest, river, desert, and beach areas. Since K-means classifiers analyze images features and Otsu's approach for multilevel image thresholding is efficient for automatic classification of satellite images, that is the main topic of this research.

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Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Untitled

2022

Technium

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“…Se realizó una clasificación supervisada, a partir de la generación de tres ortomosaicos, compuestos por 27 ortofotos (año 2000; Figura 3A), 578 imágenes de Birdseye (año 2010; Figura 3B), 144 de Airbus Defence and Space (año 2018; Figura 3C); las cuales se compararon con imágenes Landsat (año 2018; Figura 3D) y Sentinel (2018). La corrección atmosférica a las imágenes de cada periodo se hizo recortándolas y sometiéndolas a un proceso de clasificación no supervisada con el módulo K-means analysis, que agrupa los valores de celda en clases con el método de análisis de conglomerados de datos multivariados (Jumb et al, 2014;Rashmi et al, 2016); posteriormente, se transformaron los archivos de formato raster a vectorial, para una clasificación supervisada (Figura 4). La clasificación supervisada se llevó a cabo mediante puntos de control, que consistieron en 148 sitios distribuidos de manera sistemática en áreas con alto grado de confusión por la reflectancia de las imágenes, la exposición, ruido y nubosidad.…”

Section: Clasificación Supervisadaunclassified

Análisis multitemporal del uso del suelo y vegetación en el Parque Nacional Cumbres de Monterrey

Sandoval-García

Jiménez-Pérez

Yamallel

et al. 2021

RMCF

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El Parque Nacional Cumbres de Monterrey se caracteriza por su accidentada orografía que determina la distribución de una gran diversidad de ecosistemas, los cuales generan bienes y servicios ambientales como la captura de carbono y el abasto de agua para el Área Metropolitana de Monterrey; sin embargo, está sujeto a una fuerte presión por el avance progresivo de asentamientos humanos, el cambio de uso del suelo con fines agropecuarios e incendios forestales. El objetivo de la presente investigación fue determinar la dinámica de cambio del uso del suelo y de la vegetación, mediante el análisis multitemporal con imágenes satelitales de alta resolución. Los resultados indican que los ecosistemas están experimentando cambios constantes debido a factores tanto naturales como antropogénicos; por una parte, los bosques de pino, encino-pino y encino registran una tasa anual de cambio de 0.406, 0.272 y 0.245, respectivamente que equivalen a una recuperación de cobertura forestal de 3 590.50 ha. En tanto que, ecosistemas como el pastizal, matorral desértico rosetófilo y matorral desértico micrófilo presentan una tasa anual de cambio de -0.954, -0.735 y -0.562 que representan una pérdida de cobertura de 1 919.97 ha. Esta dinámica de uso del suelo pone en riesgo la integridad, capacidad de resiliencia y la multifuncionalidad de los bienes y servicios que proporciona Parque Nacional Cumbres de Monterrey al Área Metropolitana de Monterrey.

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“…And the non-graceful shutdown time will result in loss of computing time. If it is a graceful shutdown time, it will know what it has to save or current progress to the remote server or database or so on [13][14][15]. In our previous work, we illustrate block processing method which need regular monitoring and provide an uninterrupted service for which process migration is very much required.…”

Section: Motivationmentioning

confidence: 99%

An Innovative Approach for Cloud-Based Web Dev App Migration

Sunil

Raghunandan

Ranjit

et al. 2021

ICT With Intelligent Applications

Self Cite

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In computing, process management is a key challenge where the process is shifted from one node to another. In the distributed computing architecture, this is an important activity as all the running processes are managed and distributed among available resources. Hence, resource utilization will be done efficiently. Like in multicore machines, process migration happens based on schedule, and it is normally done since the migration happens within a system. In this paper, we aim to implement the process migration in a distributed system using CRIU and DMTCP, and also, we compare the efficiency of process migration based on time. Process migration is a mechanism of transferring a process's state from one system to another for the process to execute on the target system. Checkpoint and restart are multiplatform techniques for increasing performance. It is mainly used in Linux-based operating system. Using the concept of checkpoint-restart in userspace (CRIU), many running processes will be migrated. To indicate the state of the art in checkpoint-restart, we surveyed existing implementations. This paper presents the results of this survey and understanding the migration concept for our further works.

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An Efficient Parallel Block Processing Approach for K -Means Algorithm for High Resolution Orthoimagery Satellite Images

Cited by 8 publications

References 1 publication

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Análisis multitemporal del uso del suelo y vegetación en el Parque Nacional Cumbres de Monterrey

An Innovative Approach for Cloud-Based Web Dev App Migration

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