Cluster-based parallel computing technology has been widely used in the geosciences.
However, how to implement the corresponding parallel algorithm in a simple way, and how …

Vectorization processes focus on grouping pixels of a raster image into raw line segments,
and forming lines, polylines or polygons. To vectorize massive raster images regarding …

The advent of the era of Remote Sensing Big Data has produced a large number of
processing and analysis tasks, which require powerful computing capabilities to support …

Modern remote sensing (RS) image application systems often distribute image processing
tasks among multiple data centers and then gather the processed images from each center …

Background: In order to further analyze the problems of remote sensing image processing
technology and the future development direction, this paper analyzes the concept of remote …

The present paper introduces and reviews existing technology and research works in the
field of scientific programming methods and techniques in data‐intensive engineering …

Objetivo: Acelerar el proceso de fusión de imágenes satelitales mediante un modelo de
procesamiento paralelo masivo basado en computación heterogénea (CPU/GPU) …

Image fusion (pan-sharpening) plays an important role in remote sensing applications.
Mainly, this process allows to obtain images of high spatial and spectral resolution …

Soil and water conservation is one of the key measures to improve the ecological
environment of small watersheds and maintain the healthy life of the region. With the current …

In many real-world applications, data looses its value if its not analyzed in real-time.
Examples include natural disasters, crop disease identification and bioterrorism, traffic …