KEYWORDS: Wavelets, Image filtering, Image denoising, Denoising, Linear filtering, Optical filters, Principal component analysis, Wavelet transforms, Optical engineering, Signal to noise ratio
In this paper, we propose an image denoising method based on nonseparable wavelet filter banks and two-dimensional principal component analysis (2D-PCA). Conventional wavelet domain processing techniques are based on modifying the coefficients of separable wavelet transform of an image. In general, separable wavelet filters have limited capability of capturing the directional information. In contrast, nonseparable wavelet filters contain the basis elements oriented at a variety of directions and different filter banks capture the different directional features of an image. Furthermore, we identify the patterns from the noisy image by using the 2D-PCA. In comparison to the prevalent denoising algorithms, our proposed algorithm features no complex preprocessing. Furthermore, we can adjust the wavelet coefficients by a threshold according to the denoising results. We apply our proposed technique to some benchmark images with white noise. Experimental results show that our new technique achieves both good visual quality and a high peak signal-to-noise ratio for the denoised images.
The main objective of the "Remote sensing data sharing platform based on satellite link" is to realize the data sharing
within different scientific research institutes of water resources. The platform takes full advantage of existing facilities
and the shared data covers all the country and peripheral locality. It provides the important basis to the water resources
department to monitor the flood and drought disaster, the water resources application, the pollution of water
environmental, the soil erosion, the rivers vicissitude and the significant hydraulic engineering construction. It also
provides the important information guarantee and equipment support of disaster prevention and reduction. This
technique will not only improve the water resources information-based progress and the independent creative ability of
water resources management of our country, but also overcome the disadvantageous situation of the data source lacks,
data source not in time, providing non ideal product of data processing, purchasing data over-duplicate. While sharing
the remote sensing information, we also do some research about fast gain of the remote sensing data from multiple
sources, data processing and data fusion. This is a whole system which carries on a real-time monitor to the decision
department. It will provide important scientific foundation to deal with any emergency.
A very useful Real-Time Ocean Surveying System (RTOSS) has been developing. Because of the real-time transmission and the huge synthesize aperture radar (SAR) imagery data and video imagery data and because of the restricted communication channel and the limited transmitting power condition the image data compression methods have to be developed. The compressed SAR imagery data and video imagery data have to satisfy two conditions: One is the excellent quality reconstruction; another is that the system can work on the real-time operating condition. It is contradictory for the excellent quality reconstruction with the real time system operation. In order to satisfy the real-time operating condition, the wavelet-based SAR imagery and improved H.263-based video imagery compression algorithms have been developed, which is of a high compression multiples and tiny compression distortion. In this paper, several typical SAR imagery compression algorithms are introduced and their performances and practical feasibility are compared. Secondly, the developed compression software that adopts improved H.263-based video imagery methods will be introduced. Finally, some experiment results will be given.
KEYWORDS: Telecommunications, Satellites, Video, Image processing, Software development, Satellite communications, Data communications, Data processing, Data centers, Data transmission
Real-time communication has been playing an increasingly important role in our work, life and ocean monitor. With the rapid progress of computer and communication technique as well as the miniaturization of communication system, it is needed to develop the adaptable and reliable real-time communication software in the ocean monitor system. This paper involves the real-time communication software research based on the point-to-point satellite intercommunication system. The object-oriented design method is adopted, which can transmit and receive video data and audio data as well as engineering data by satellite channel. In the real-time communication software, some software modules are developed, which can realize the point-to-point satellite intercommunication in the ocean monitor system. There are three advantages for the real-time communication software. One is that the real-time communication software increases the reliability of the point-to-point satellite intercommunication system working. Second is that some optional parameters are intercalated, which greatly increases the flexibility of the system working. Third is that some hardware is substituted by the real-time communication software, which not only decrease the expense of the system and promotes the miniaturization of communication system, but also aggrandizes the agility of the system.
In order to get accurate survey and careful studied for some special places, such as ocean, earthquake area and flooded area, it is convenient to use the airborne surveying system. In this paper, the Real Time Image Capture Technology will be discussed first. Then the Real Time Image Receiving and Processing technology will be discussed. Finally the PASGI system will be introduced and the some simulating results will be given.
Microwave radiometer is a kind of passive microwave remote sensor. Generally microwave radiometer is considered passively receiving radiation from the object and no energy radiate from the antenna to the outside. In the practical system, the components of radiometer really have thermal noise and radiate energy in the reverse direction. In another case, the reverse radiation comes for the mismatch of the components between the antenna to the receiver system. The energy radiates to the outside through antenna, and reflected back by the objects and received by antenna again. The value of reverse radiative temperature is related to the noise of the receiver and components of the receiver front-end. The reverse radiative temperature in the system will affect the accuracy of the calibration of microwave radiometer and the ground-based microwave radiative measurements near nadir angle.
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