Anomaly detection is one of the most important techniques for remotely sensed hyperspectral data interpretation. Developing fast processing techniques for anomaly detection has received considerable attention in recent years, especially in analysis scenarios with real-time constraints. In this paper, we develop an embedded graphics processing units based parallel computation for streaming background statistics anomaly detection algorithm. The streaming background statistics method can simulate real-time anomaly detection, which refer to that the processing can be performed at the same time as the data are collected. The algorithm is implemented on NVIDIA Jetson TK1 development kit. The experiment, conducted with real hyperspectral data, indicate the effectiveness of the proposed implementations. This work shows the embedded GPU gives a promising solution for high-performance with low power consumption hyperspectral image applications.
Viewshed analysis is a method and technology, which manages geometry principles and computer graphic technology to
resolve the problem of geographic aggregation of monitoring points. This paper analyses the forest resources and its main
fire prevention factors, such as forest types, forest ages and forest shade density etc., within the scope of the visible
monitoring points, and discusses how to maximize the area under forest fire monitoring without increasing the number of
monitoring points and changing equipments performance. With the target of maximuming monitoring area, the paper
studies on the best monitoring position within certain area, and to convert it into how to optimize the visible area so as to
make locating monitoring points much more scientific, reasonable and efficient.
Aerosol model is a major obstacle for passive remote sensing of aerosol properties. For the continent or urban aerosol
model does not fit the needs for more accurate retrieval, and the user defined aerosol model may be more near to the
realistic condition in Taihu region. A method has been developed for retrieving the aerosol model and optical properties
including polarization, i.e., scattering coefficient, asymmetry factor, single scattering albedo, scattering phase function
and polar phase function. In Lake Taihu, the study area of our two combined remote sensing observations in the winter and summer 2006, we got water surface spectral data of ASD (Analytical Spectral Devices) by the ship, atmospheric data of CE318 sunphotometer on the shore, and the MODIS (Moderate Resolution Imaging Spcectroradiometer) image data on the TERRA Satellite. By using the nearly synchronous measurements of the data from surface spectrum and the sunphotometer with the image, and by use of the radiative transfer model 6S(Second Simulation of a Satellite Signal in the Solar Spectrum), varying the components of the aerosol type, a LUT (look up table) is made for the radiance on the satellite. When the total relative error of the new defined parameter for relative error is getting to the least, the aerosol type will be decided. Then, based on the determination of aerosol model, the atmospheric aerosol properties over Lake Taihu have been computed by using Mie theory and analyzed with the typical continental and urban aerosol models available in 6S. These results show that the user-defined aerosol model is a mix model of continent and urban which corresponds with previous studies. Moreover, they may be useful for resolving the vector RTE (radiative transfer equation). In this paper we tried to provide a method with the combination of remote sensing data to obtain the optical properties of atmospheric aerosol over inland water in different seasons. We respect it will be helpful for accurate atmospheric correction in the future.
Remote Sensing Image Simulation, which provides the image according to the characteristics of sensor in geometry, spectral and radiometry, is a very significant issue before the satellite's launching. This paper is mainly detailed in the geometric characteristics of multi-spectral sensors and the process of image geometric simulation of 1A microsatellite in Environment and Disaster Monitoring Microsatellite Constellation (HJ-1A). The relationship among the swath, the convergent angle, and the Ground Sampling Distance (GSD) is studied. The ideal photography model based on the photogrammetric theory is set up according to part of orbit parameters and reasonable assumptions. The relationship between the image coordinates and the geodetic coordinates and the simulating image algorithm is put forward. Finally, some conclusions are drawn up from the results of the study.
Imaging spectrometers acquire images in a large number, narrow, contiguous spectral bands to enable the extraction of reflectance spectra at a pixel scale that can be used for identification. Many identification methods based on the spectra match technique have been developed. Such as spectral angle mapping, binary encoding. But these methods use all the data in the spectral dimension and compare the whole similarity between the reference and test spectrum. Sometimes two different kinds of spectrums may have big similarity, and this results in the wrong identification. There are also many algorithms using waveform characters for identification. However these methods maybe ineffective when the spectra have no diagnostic absorption feature. This paper introduces a new algorithm for identification based on diagnostic feature matching technique. Spectral matching technique and waveform characterization are combined for identification. Instead of matching test spectrum in all the wavelength range, this new algorithm emphasizes diagnostic features' location and only matches several diagnostic features in their most possible locations. To insure the idenfication of accuracy, spectral characters in terms of slope and asymmetry are used to check and verify. The algorithm is processed in four steps which will be described in the second part of this paper. In the third part, this algorithm is tested by identifying Alunite from AVIRIS image in Cuprite, Colorado. The result proved this new algorithm effective.