This study aims to predict vital soil physical properties, including clay, sand, and silt, which are essential for agricultural management environmental protection. Precision distribution of texture is crucial effective land resource precision agriculture. To achieve this, we propose an innovative approach that combines Geospatial Artificial Intelligence (GeoAI) with the fusion satellite imager...

At present, HRSI (High-resolution Satellite Imagery) is more and more widely applied for surveying, land, constructing, production and living field, and it becomes increasingly important to acquire orthophotograph by processing geometric rectification of satellite original images. Less or without GCPs (Ground Control Points) in several parts of area is a puzzled problem for remote sensing image...

With the ever increasing level of automation of astronomical telescopes the benefits and feasibility of automated planning and scheduling are becoming more apparent. Improved efficiency and increased overall telescope utilization are the most obvious goals. Automated scheduling at some level has been done for several satellite observatories, but the requirements on these systems were much less ...

Global Navigation Satellite Systems (GNSS) are becoming increasingly crucial in the practice of geomatics and earth sciences. When related to positioning (through a network of points visited a number of times by relevant receiving equipment) the use of GNSS techniques is highly expensive and the management costs grow exponentially as the number of relevant parameters increases. These parameters...

The accuracy reached in the past few years by Satellite Laser Ranging (SLR) allows for measuring even tiny features of the Earth’s gravitational field predicted by Einstein’s General Relativity by means of artificial satellites. The gravitomagnetic dragging of the orbit of a test body is currently under measurement by analyzing a suitable combination of the orbital residuals of LAGEOS and LAGEO...

Image Processing, Optimization and Prediction of an Image play a key role in Computer Science. Image processing provides a way to analyze and identify an image .Many areas like medical image processing, Satellite images, natural images and artificial images requires lots of analysis and research on optimization. In Image Optimization and Prediction we are combining the features of Query Optimiz...

In this study, an improved method based on evolutionary algorithms for denoising of satellite images is proposed. In this approach, the stochastic global optimisation techniques such as Cuckoo Search (CS) algorithm, artificial bee colony (ABC), and particle swarm optimisation (PSO) technique and their different variants are exploited for learning the parameters of adaptive thresholding function...