Two types of snow grain sizes and mass concentration of snow impurities were made with ADEOS-II/GLI data from April to October in 2004. In general, both of retrieved snow parameters took lower values in the high latit...
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Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance ed...
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Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance edges, followed by an edge detector to locate the edges. In this way, more detailed and relatively more unbroken edges can be found as compared to the results when an edge detector is applied alone. The algorithms compared are K-Means, SOM and SOGR for clustering, and Canny and GED for edge detection. Perceptionally, best results were obtained with the GED-SOGR algorithm. The SOGR is also considerably simpler and faster than the SOM algorithm.
Taiwan's animal industry has already been transformed from being a traditional small scale farming culture to a capital and technological intensive agro-industrial operation. Facing pressure from imported animal p...
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ISBN:
(纸本)9781604237511
Taiwan's animal industry has already been transformed from being a traditional small scale farming culture to a capital and technological intensive agro-industrial operation. Facing pressure from imported animal products, Taiwan has already begun to realize its strategy of producing high-quality, healthy and safe animal products to meet consumers' demands. In recent years Taiwan has tried to establish an integrated management system to help raise the overall competitiveness of its animal industry. In 1999, we started to investigate and collect animal farm spatial data creating a GIS farm database, and now more than 80 percent of animal farms have been formally registered on this database. We have achieved good improvements in the area of pollution and disease control. Further more, we also established a monitoring system that can efficiently monitor and control the collection vehicles for perished or diseased animals from farms for cremation. We also created a module for each collection vehicle that consisted of a declaration input device and a weighing system. This module receives integrated real-time positions, loadings and declaration data for perished or diseased animals during the daily operating period for each collection vehicle via the global positioning system (GPS) and the general packet radio service (GPRS). We also have an in situ supervising vehicle that can retrieve and monitor information from the remote server system by GPRS, enabling the monitoring of possible improper usage conducted by the perished or diseased animal collection vehicles. Consequently, FARMNET closely interconnects the delivery information between the collection vehicles, control center, and supervisor on duty, central and local government.
Based on the assessment report of destructive housings caused by more than 20 earthquakes occurred in Yunnan Province in 1990～2004, the vulnerability models of 4 types housings of rural residents in Yunnan Province a...
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Based on the assessment report of destructive housings caused by more than 20 earthquakes occurred in Yunnan Province in 1990～2004, the vulnerability models of 4 types housings of rural residents in Yunnan Province are setup. The scenario earthquake disaster loss model is used to simulate the housing loss if the historical earthquakes that occurred since A.D. 886 in Yunnan Province reoccur in 2002. The analyses show the simulation deviation of the usual earthquakes is less than 30% and the method is of high practicality. Meanwhile, the simulation result of 398 historical earthquakes in Yunnan Province shows that the annual economic loss caused by the earthquakes is about RMB 410 million Yuan that accounts for 0.18% of GDP of Yunnan Province for the year. Because the per capita living area and the price of the housing increases year by year, if the historical destructive earthquake reoccurs today, the loss of Yunnan Province will be greater than in those years.
Taking into account the demands of hyperspectral remotesensing(RS) image retrieval and processing, some encoding methods of spectral vector including direct encoding, feature-based encoding and tree-based encoding me...
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Taking into account the demands of hyperspectral remotesensing(RS) image retrieval and processing, some encoding methods of spectral vector including direct encoding, feature-based encoding and tree-based encoding methods are proposed and compared. In direct encoding, based on the analysis of binary encoding and quad-value encoding, decimal encoding is proposed. It is proved that quad-value encoding and decimal encoding are suitable to fast processing and retrieval. In absorption feature-based encoding method, five common metrics are compared. Because locations of reflection/absorption features are sensitive to noise, this method is not very effective in retrieval. In tree-based encoding methods, bitree, quadtree, octree and hextree are proposed and discussed. It is proved that 2-level octree and 2-level hextree are more effective than bitree and quadtree. Finally, quad-value encoding, decimal encoding, 2-level octree and 2-level hextree are proposed in spectral vectors encoding, similarity measure and hyperspectral RS image retrieval.
The paper mainly introduces how to get the parallel image from the lean image u-sing the conditions of geometry and restriction in the surface of building according to the theory of perspective transformation. After t...
The paper mainly introduces how to get the parallel image from the lean image u-sing the conditions of geometry and restriction in the surface of building according to the theory of perspective transformation. After transformation, the principal distance of rectified image has the same value as one of original image. Then, using the least control condition, the parallel images can be magnified to the scaled image. The technology proposed in paper made getting facade image with large scale rather rapidly, not influenced by the height of building, and can be used in many kinds of mobile mapping situation.
It is now possible to measure the thickness of an oil slick on water by remotesensing. A laboratory sensor has been developed to provide this absolute oil slick thickness measurement. A joint project between Environm...
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It is now possible to measure the thickness of an oil slick on water by remotesensing. A laboratory sensor has been developed to provide this absolute oil slick thickness measurement. A joint project between Environment Canada, U.S. Minerals Management Service (MMS), Imperial Oil Research Ltd., and Industrial Materials Institute of the National Research Council of Canada has led to the development of a prototype slick thickness measurement system, known as the Laser Ultrasonic remotesensing of Oil Thickness (LURSOT) sensor. This prototype was the first step in achieving the ultimate goal of providing an airborne sensor for the remote measurement of oil slick thickness on water. The LURSOT sensor employs three lasers to produce and measure the time-of-flight of ultrasonic waves in oil, hence providing a direct measurement of oil slick thickness. The successful application of this technology to the measurement of oil slick thickness will benefit (1) the scientific community as a whole by providing information about the dynamics of oil slick spreading and (2) the spill responder by providing a measurement of the effectiveness of spill countermeasures such as dispersant application. The first part of this paper provides initial results from laboratory testing prior to a second round of airborne test flights of the modified LURSOT system. The second part of this paper provides details on a new generation of laser fluorosensor, known as Scanning Laser Environmental Airborne Fluorosensor (SLEAF). SLEAF recently has been installed on Environment Canada's DC-3 aircraft. SLEAF incorporates a high-power excimer laser, high-resolution range-gated intensified diode-array spectrometer, and a pair of variable speed and angular displacement scanning mirrors. These scanning mirrors provide SLEAF with the across-track sampling pattern needed to detect narrow bands of oil that can pile up along the high tide lines of beaches and shorelines. Ground testing of SLEAF has now been under
This paper presents a computer-assisted diagnostic system for mass detection and classification, which performs mass detection on regions of interest followed by the benign-malignant classification on detected masses....
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This paper presents a computer-assisted diagnostic system for mass detection and classification, which performs mass detection on regions of interest followed by the benign-malignant classification on detected masses. In order for mass detection to be effective, a sequence of preprocessing steps are designed to enhance the intensity of a region of interest, remove the noise effects and locate suspicious masses using five texture features generated from the spatial gray level difference matrix (SGLDM) and fractal dimension. Finally, a probabilistic neural network (PNN) coupled with entropic thresholding techniques is developed for mass extraction. Since the shapes of masses are crucial in classification between benignancy and malignancy, four shape features are further generated and joined with the five features previously used in mass detection to be implemented in another PNN for mass classification. To evaluate our designed system a data set collected in the Taichung Veteran General Hospital, Taiwan, R.O.C. was used for performance evaluation. The results are encouraging and have shown promise of our system.
Construction of a lighting model of the real world is one of the critical aims in an augmented reality (AR) system. The theory of lighting modeling used in computer graphics(CG) is applied in this study. The position...
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Construction of a lighting model of the real world is one of the critical aims in an augmented reality (AR) system. The theory of lighting modeling used in computer graphics(CG) is applied in this study. The position of the real light-source is first conjectured from light and shade of the registration image element by element using a ray tracking algorithm. Then the virtual light-source and virtual fiducial are constructed in the CG environment, in which, the Phong model is used to draw the light effect. By comparing the CG scene with the real image, one can modify the parameters of the lighting model over and over again, until the lighting effect of the CG scene is close enough to that of the real image. It is proved that this method works well in the indoor AR system. The method can be used feasibly in most applications with some improvements.
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