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Satellite acquisitions from LANDSAT (LS) and CBERS programs are widely used in monitoring land cover dynamics. In the acquired products, clouds form opaque objects are obscuring parts of the scene and preventing a reliable extraction of information from these areas. Consequently, cloud shadows create similar problems, as the reflected intensity of the shadowed areas is highly reduced, generating additional...
In this paper we present a 2-tier higher order Conditional Random Field which is used for land cover classification. The Conditional Random Field is based on probabilistic messages being passed along a graph to compute efficiently the conditional probability for a land cover class. Conventionally the information is passed among direct spatial neighbors to improve classification accuracy. The inclusion...
Real Time Kinematic (RTK) Global Positioning System (GPS) uses carrier phase measurement from GPS signal and it has a high accuracy but has integer ambiguity resolution problem which causes cycle slips and requires good satellite visibility as well. RTK was originally developed for applications such as surveying; in our case the target application is the tracking and the control of a robot hexacopter...
We investigate the performance evaluation of merging (fusing) the classification capabilities of classifiers for the land use analysis. For the fusion approach, we select the parametric and non-parametric classifiers. The set used includes: Bayesian Network, Multi-layer Perceptron (MLP), Support Vector Machines (SVM) and Random Forest. These classifiers are selected based on their good over-all performance...
Index generation for satellite image is an important task for retrieving satellite image in data warehouse. The goal of index generation is to find a polygon that represents the geographic image area. Using too many vertices for satellite images index can decrease retrieval speed. Therefore, the aim of this research is to develop an algorithm for generating index for satellite images using small amount...
Pakistan faces heavy revenue losses in terms of one of its major cash crop i.e. Tobacco, due to the unavailability of accurate statistics of the total tobacco production. During the cropping season, there are many competing crops along with tobacco in the neighboring fields — making tobacco identification a challenging task. This study considers a pilot region of interest that spans over 64844 hectares,...
Digital Elevation Model (DEM) is crucial for several purposes like town planning, hydrological analysis, land sliding, flash floods, earthquake, road construction, surface analysis, ortho-rectification of satellite imagery, 3D visualization, precise farming and forestry, base mapping, flight simulation and disaster management. Pleiades is a French constellation of very high resolution satellites....
Classifying cash crops through satellite based remote sensing has proved to be effective for reliable ground based agricultural statistics. In this study, frequently used simple and fast classification algorithms i.e., Mahalanobis Distance and Maximum Likelihood Classification (MLC) are compared for classifying tobacco crops by the end of June in north-western Pakistan. High Geometric Resolution imagery...
A method to enhance the indoor positioning accuracy by alleviating the effect of multipath distortion is presented. Using this method the line-of-sight (LOS) and non-line-of-sight (NLOS) signals are separated in the frequency domain and multipath induced errors in the pseudorange measurements are decorrelated at a faster rate than under static antenna conditions, resulting in improved positioning...
This study is to classify satellite data based on traditional swarm intelligence technique. Attempts to classify remote sensed data with traditional statistical classification technique faced number of challenges as the traditional per-pixel classifier examine only the spectral variance ignoring the spatial distribution of the pixels, corresponding to the land cover classes and correlation between...
Compass satellite navigation and positioning system is a new generation of independently developed satellite navigation system in China. In this paper, it establishes pseudorange error model by Compass navigation and positioning system. Then it deduces and analyses the geometric error factor of the system. And the navigation and positioning accuracy of the system is analysed. The improved algorithms...
In this paper, a change detection method for remotely sensed satellite images based on a decision theoretic method is proposed. The proposed method works in two stages. In the first stage, a difference image was computed using change vector analysis (CVA) technique. For multispectral images, CVA technique works well as it uses all the bands of two multidate satellite images to compute the difference...
Small satellite missions for scientific purpose gained more and more importance during the last years in Germany. There are several missions in-orbit or scheduled for launch in the near future like GFZ (1995), Eguator-S (in-orbit, launch Dec 1997), ABRIXAS (launch April 1999) and other missions are on the horizon. One of these highly ambitious projects is the small astrometry satellite DIVA (German...
Remote Sensing is widely used for mapping of land cover and land use. Classification of image satellites is also done by using these mapping. In this paper the classifier proposed is the Probabilistic based Neural Network developed using MATLAB. The data for image classification is acquired over various parts of Mumbai region which is LISS-III. Probabilistic based neural network is a supervised classification...
The field of Civil Aviation sector in India is going to be revolutionized by the Indian Regional Navigation Satellite System, which is regional navigation system of the Indian sub- continent. The accuracy of the Navigation solution of any satellite based navigation system is affected by several factors such as delay due to refraction in atmospheric layers, clock drift errors, errors due to multipath...
The capability of one-way time service as an important index of satellite navigation system reflects the ability that a satellite navigation system broadcasts the system time to the clients. In this paper, the performance evaluation method of BD one-way time service is designed standing in the clients' position. The UTC(NTSC)-BDT result via Space signal reception method is obtained in NTSC, the performance...
Remote sensing land-use scene classification has a wide range of applications including forestry, urban-growth analysis, and weather forecasting. This paper presents an effective image representation method, Gabor-filtering-based completed local binary patterns (GCLBP), for land-use scene classification. It employs the multi-orientation Gabor filters to capture the global texture information from...
As same as other satellite navigation systems, the time difference is considered as one of the basic observations in Beidou satellite navigation system. Therefore, an accurate and stable system time is crucial to realize the system function. Based on the inverse decomposition method, this paper analyzes the requirements of Beidou system time (BDT) on behalf of the Beidou System service. Three time...
Laser time transfer is and attractive technique to transfer time ground to space with picosecond precision and systematic errors on the level of tens of picoseconds. Recently the European Laser Timing experiment is under construction in the frame of the European Space Agency mission Atomic Clock Ensemble in Space. The objective of this laser time transfer is synchronization of the ground based clocks...
According to such problems as acquisition terminal and smart meter's real-time deviation is large which has lead to TOU power price and ladder power price policy difficult to successfully implement in electricity information acquisition system, this paper has applied GPS clock synchronization technology and PTP clock synchronization technology in electricity information acquisition system's simulation...
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