Ganghong Zhang

Research on Resource Directory Service for Sharing Remote Sensing Data under Grid Environment

Because of the features of remote sensing data such as large quantity, complex format and wide distribution in heterogeneous storage devices of different geographic locations, it is quite difficult for integrating, exchanging and sharing remote sensing data effectively. On one hand, it is very hard to get continuous remote sensing data for some research institutions and individuals who urgently need a convenient way to share and acquire the data. On the other hand, the data producers seldom make full use of the precious data resources due to the lack of effective method supporting for the massive data sharing. Focusing on the contradictions between continuous accumulation and lowly utilization of remote sensing data resources, in this paper, an approach of sharing remote sensing data under grid environment is discussed and based on LDAP for registration, issue, management and search using a directory tree form. It improves sharing remote sensing data rapidly and conveniently and also maximizes the efficiency of data resource.

A Remote Sensing Image Process Method of Supervised Classification under Grid Environment

On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the Bayesian classification to build a remote sensing image process method of supervised classification under the grid environment. This method can provide a preferred approach for the classification of remote sensing image.

A Research on Grid-Based Geometric Correction for Remote Sensing Image

On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the mode of parallel processing, develops a method of geometric correction for processing remote sensing images based on grid. It provides an approach for solving problems caused by RS image’s characteristics of complexity and time consuming.

Study and Implementation of Agricultural SMS Management System

In this paper, an agricultural SMS (Short Message Service) management system is constructed based on a platform of GSM modem to send and receive short messages. The platform will create tables in database that store short messages and provide interface for agricultural short message management system. Users can send request of query to the platform in short message through mobile phone. The system automatically analyzes and processes the query and inserts the results into the sending table which will be sent back to the user through the platform. The system has been applied actually and runs efficiently.

Compressed sensing based apple image measurement matrix selection

The purpose of this paper is to design a measurement matrix of apple image based on compressed sensing to realize low cost sampling apple image. Compressed sensing based apple image sampling method makes a breakthrough to the limitation of the Nyquist sampling theorem. By investigating the matrix measurement signal, the method can project a higher dimensional signal to a low-dimensional space for data compression and reconstruct the original image using less observed values. But this method requires that the measurement matrix and sparse transformation base satisfy the conditions of RIP or incoherence. Real time acquiring and transmitting apple image has great importance for monitoring the growth of fruit trees and efficiently picking apple. This paper firstly chooses sym5 wavelet base as apple image sparse transformation base, and then it uses Gaussian random matrices, Bernoulli random matrices, Partial Orthogonal random matrices, Partial Hadamard matrices, and Toeplitz matrices to measure apple images, respectively. Using the same measure quantity, we select the matrix that has best reconstruction effect as the apple image measurement matrix. The reconstruction PSNR values and runtime were used to compare and contrast the simulation results. According to the experiment results, this paper selects Partial Orthogonal random matrices as apple image measurement matrix.

Research on Voice Signal Acquisition and Recovery Algorithm Based on Compressive Sensing

This paper introduces a method based on compressive sensing to acquire voice signals from distributed wireless sensors. The method uses compressive sensing technology to sample, transmit and recover data to reduce the sampling rate and further compress the data. As the voice signals in the discrete cosine transform domains are approximately sparse, this paper builds a JSM-1 based model and uses the random Gaussian measurement matrix to measure the signal and recovers the signal using SOMP algorithm. The method can be applied to Internet of things in agriculture to monitor wireless sensor signals, which can significantly lower hardware costs and reduce power consumption. Whats more, the method can prevent the network structure damage caused by unbalanced power consumption and can be widely used.

Research and Design of an Integrated Farm Information Management System Based on Component GIS

In this paper, an Integrated Farm Information Management System (IFIMS) is constructed through analyzing the mechanism and characteristics of Component GIS. On the basis of the B/S architecture, a development pattern that integrated Microsoft .NET platform and the component SuperMap is applied to the system according to the requirements of farm production. The system is utilized for the integrated management of farm spatial information as well as providing services for managing farm resources and making scientific analysis, production decisions and evaluation on farming.

An online agricultural product transaction system

Abstract To support Chinas rural development and the growth of farmer incomes it is necessary to accelerate the development of agricultural information systems. The transaction characteristics of agricultural markets have been applied to the design of an online agricultural product transaction system. The aim has been to improve the systems available for product transactions, and to propose a set of market realisation mechanisms dealing with the ordering and certification of products. These would enable the system to support more economic trading practices. The first stage is to help farmers to understand, accept, and trust the technologies associated with online product transactions, and to better appreciate the benefits of these easier andmore rapid procedures.

Intelligent Farm Relaxation for Smart City based on Internet of Things: Management System and Service Model

Farm relaxation is a type of city tourism. Currently, this type of tourism has demonstrated a series of problems, including blind spots in the service channel, simple one-sided service content and passive service delivery. To address these issues, here the concept of “intelligent farm relaxation” was proposed. In addition, an intelligent farm management system IEFMS was developed based on key techniques from the Internet of Things (IoT) as well as a related service model. This system has five layers, which are, from top to bottom: the presentation layer, the application layer, the application support layer, the data layer, and the infrastructure layer. Based on this, the intelligent farm was divided into four sections and a service model proposed: planting areas, a management services centre, a logistics distribution centre and a data centre. This service model is characterized by digital dynamic management and customized whole-process proactive services. The results of this study will help improve intelligent farm management services for smart city, likewise providing technical and application support for the intelligentization, automation and diversification of intelligent farm relaxation service management, and also to promote adding cultural, ecological, technological and service value to intelligent farm relaxation.

Design of Rural Voice Service System

In existed rural communication conditions, voice service system would solve the problem which the rural users cannot obtain useful and real-time information. This paper gives a design of rural voice service system, and discusses the system structure and layer division. This system realizes functions of self-organization inquiry process and real-time conversion from text to speech by means of navigating table and conversion module. Its implementation provides an effective approach for agricultural information transmission in China.