This paper aims to propose the principles of a systems architecting method to assess and guide the conceptual design of platform based solutions for satellite space applications. The method helps the developers to assess the platform changeability to achieve future missions with a minimum impact in terms of modifications and to assess the platform comprehensiveness in terms of possible missions...

In this paper, we propose a new method of channel estimation for asynchronous additive white Gaussian noise channels in satellite communications. This method is based on signals correlation and multiuser interference cancellation which adopts a successive structure. Propagation delays and signals amplitudes are jointly estimated in order to be used for data detection at the receiver. As, a mult...

In this paper, a novel method for selecting a navigation satellite subset for a global positioning system (GPS) based on a genetic algorithm is presented. This approach is based on minimizing the factors in the geometric dilution of precision (GDOP) using a modified genetic algorithm (MGA) with an elite conservation strategy, adaptive selection, adaptive mutation, and a hybrid genetic algorithm...

Satellite sensors have provided new datasets for monitoring regional and urban air quality. Satellite sensors provide comprehensive geospatial information on air quality with both qualitative remotely sensed imagery and quantitative data, such as aerosol optical depth. This paper presents a new method for retrieving aerosol optical thickness. The method is based on the determination of the aero...

In this paper, we propose a multi-scale deep feature learning method for high-resolution satellite image classification. Specifically, we firstly warp the original satellite image into multiple different scales. The images in each scale are employed to train a deep convolutional neural network (DCNN). However, simultaneously training multiple DCNNs is time-consuming. To address this issue, we e...

In this work we propose a new approach to delineate regions in Satellite Image. This method is particularly applicable to the limitation of insoluble habitats. We are interested in detecting the boundaries of the villages near Marrakech from their satellite images, as a study case: Ouahat Sidi Brahim. Our approach has three stages: The first, using k nearest neighbour method for classification ...

Satellite Radar Interferometry is a unique method that gives us a possibility to take measurements of a land subsidence on strictly determined huge areas and with precision state the time range. This method uses the phase signal difference between two SAR satellite images (Synthetic Aperture Radar). Until this time this method was successfully tested on underground coal mining areas in the Uppe...

ABSTRACT: As IKONOS satellite with 1-m resolution camera has been lunched in 1999, mapping using space-borne images will be a hot issue in computer vision area and photogrammetry. It is obvious that one of the great challenges to process the high spatial resolution satellite images will be the geometric correction practice. Conventionally, the positioning of the image control points is manually...

proper forest management needs quantitative and precise estimates of forest stands characteristics. remotely sensed imageries, due to accurate and broad spatial information, has become a cost-effective tool in forest management. classification of forest attributes and generation of thematic maps are among the common applications of remote sensing. the objective of this study was to optimize the...