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The Soil Moisture Active Passive (SMAP) mission, launched January 31, 2015, provides global observations of 1.4 GHz Earth thermal emissions from space [1] through its L-band radiometer. Although SMAP's radiometer passband lies within the protected 1.4–1.427 GHz band, both unauthorized in-band transmitters as well as out-of-band emissions from transmitters operating at frequencies adjacent to this...
A novel background dictionary learning and structured sparse representation based anomaly detection method is proposed for hyperspectral imagery. First, a robust PCA spectrum dictionary is learned from the plausible background area detected by the local RX detector. With the learned dictionary, the reweighted Laplace prior based structured sparse representation model is then employed to reconstruct...
In this paper we propose a new extraction scheme for linear arranged targets in polarimetric SAR images based on a contrario theory. In this scheme, to reduce the influence of speckle, firstly a polarimetric whitening filter is applied to combine four images from different channels into a single channel image. Then a Cell-Averaging Constant False Alarm Rate detector with Weibull clutter background...
Detection cof multiple scatterers for localizing the targets is one of the key issues in SAR tomography. Recently, a Generalized Likelihood Ratio Test based on support estimation (Sup-GLRT) [10] has been presented. This test exhibits a high computational complexity. In this paper a modified approach for reducing computational complexity (Fast-Sup-GLRT) is proposed. The prime objective is to analyze...
This letter depicts a ship detection scheme for synthetic aperture radar images, utilizing a segmentation based global iterative censoring algorithm. In the proposed scheme, the fuzzy local information c-means clustering (RFLICM) algorithm is adopted to partition the inhomogeneous SAR image into numerous homogeneous sub-regions, thereby eliminating the performance degradation caused by SAR image inhomogeneity...
To the problem that random placement in distributed file system leads to the low utilization of servers, this article models according to the characteristics of remote sensing image data blocks, clusters data by setting storage centre with access frequency so that the adjacent remote sensing image data blocks in spatial position are near each other in physical storage as well. It promotes the response...
In this paper, a target detector with frequency diverse array (FDA) multiple-input and multiple-output (MIMO) radar in a homogenous environment is proposed. Unlike the conventional MIMO radar, the system uses FDA transmitting array. The essence of the proposed technique is to formulate a range-angle dependent detector with FDA MIMO radar. The detector assumes the signals belonging to conic regions,...
A method to solve multi-target classification problems with unknown clutter parameters is proposed in this paper. The unknown parameter is estimated and synthesized at each observation, and probability of each hypothesis is updated. Subsequently, the optimal waveform for the next illumination is designed based on NP criteria, and the final decision is made based on the sequential probability ratio...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensors are capable of achieving sub-meter resolution, which offers the opportunity for a fine level of analysis of man-made structures. In this paper, we present a method for the detection and 2-D reconstruction of building radar footprints from VHR SAR scenes. The method is based on the extraction of a set of low-level features...
In this paper, a statistical method of estimating the number of endmembers from hyperspectral images is proposed. A noncentra chi-squared distribution model is applied to calculate this number. Endmembers are important parameters in many hyperspectral detection algorithms based on Linear Mixture Model(LMM). The number of endmenbers is the only preset parameter and needed in some anomaly detectors...
The wavelength of synthetic aperture lidar (SAL) is very short; vibration of millimeter magnitude will significantly change the phase of echo signal and lead to the defocus of imaging in azimuth direction, so vibration estimation is a key step of SAL imaging. The existing Space Correlation Algorithm (SCA) used to estimate vibration of SAL is only suitable for the condition of narrow azimuth beam and...
The low-rank property of hyperspectral imagery is well exploited with low-rank decomposition methods recently. In our approach, a novel hyperspectral anomaly detector based on low-rank representation (LRR) and learned dictionary (LD) has been proposed. This method assumes that a two-dimensional matrix transformed from a three-dimensional hyperspectral imagery can be decomposed into two parts: a low...
In hyperspectral image processing technologies, anomaly detection is a valuable and practical way of searching small unknown targets based on spectral characteristics. For the lack of prior knowledge of targets, background modeling on hyperspectral images is the key process that affects the outcome of anomaly detection operator. In this paper, a novel method of anomaly detection based on quadratic...
In image processing, the detection of keypoint plays a significant role in foundation work of many image applications. Most widely distributed features in images are corners. Among the famous corner detectors, Harris detector has shown its excellent performance. However, when coming up with SAR image, the speckle noise may severely influence the performance of Harris. And Harris is seldom used in...
The increased requirement for visible light/infrared dual band imaging systems with compact structure, suitable field of view (FOV), high resolution coverage and without significantly complicates the optical design is increasing. Such systems are particularly desirable for unmanned aerial vehicle (UAV) remote sensing applications where increased levels of target reconnaissance, surveillance, precision...
This paper presents the in-flight charge-coupled device (CCD) dark characterization of the Suomi National Polar-orbiting Partnership (S-NPP) Ozone Mapping Profiler Suite (OMPS). Data from OMPS's three different CCD detector arrays have been collected to characterize in-flight detector behaviors. It is of our primary interest in the evolution and trend of the dark current as well as the signal distribution...
A new threshold template algorithm is presented in this paper to improve the performance in ship detection in high-resolution synthetic aperture radar (SAR) images. The algorithm introduces SAR formation theories into detection. First, we divide the image into tiles within which the sea background can be treated as homogeneous one. Second, we use a threshold template method to detect candidate ship...
Change detection is an important issue in many applications. In this study, we propose a new change detector for multi-temporal polarimetric synthetic aperture radar (SAR) images. The new detector is based on the optimization of polarimetric contrast minimization. The optimized solution of the contrast model is also given. Experiments are performed on two RADARSAT-2 data sets and results show agreement...
This paper presents an automatic ship detection algorithm for polarimetric synthetic aperture radar (PolSAR) data. Based on the non-Gaussian K-Wishart distribution model for complex backscattering coefficients, the PolSAR image is clustered automatically by a modified expectation maximization algorithm. A goodness-of-fit test is incorporated to improve the model fitness of the cluster iteratively...
In this paper, a method is proposed for ship detection in poalrimetric SAR imagery. Polarimetric SAR image is decomposed into a sparse ship component and a sea clutter component. Then hierarchical priors of the latent variables associated with the components are introduced, and variational Bayesian inference is used to estimate the expectations of the latent variables. The proposed method is an automatic...
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