As an extension of the Interferometric Synthetic aperture radar (InSAR), the multi-frequency InSAR can realize high-accuracy elevation extraction of the steep terrain. Though the maximum likelihood estimation (MLE) is...
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ISBN:
(纸本)9781849199940
As an extension of the Interferometric Synthetic aperture radar (InSAR), the multi-frequency InSAR can realize high-accuracy elevation extraction of the steep terrain. Though the maximum likelihood estimation (MLE) is widely used in the signal processing of multi-frequency InSAR, the performance of this method can be influenced by the selection of frequency combination. At the beginning, this paper analyses the elevation estimated effectiveness of different frequency combinations from the aspect of Cramer-Rao Lower Bound (CRLB). Then, it calculates the ambiguity cycle as a further filter for the optimal frequency combination. Finally, this paper discusses the adaptability to the phase noise with the help of Monte Carlo simulation strategy. In consideration of these three aspects, a selection method of frequency combination is proposed, and further simulation results are provided in quantity. Relevant researches can be used in the design of multi-frequency InSAR system.
In order to adapt different scale land cover segmentation, an optimized approach under the guidance of k-means clustering for multi-scale segmentation is proposed. At first, small scale segmentation and k-means cluste...
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The pipeline filter algorithm is a classical method which combines the time domain with the spatial domain in the field of informationprocessing, but for it has problem in suppressing the fixed position sharp noise a...
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ISBN:
(纸本)9781467374439
The pipeline filter algorithm is a classical method which combines the time domain with the spatial domain in the field of informationprocessing, but for it has problem in suppressing the fixed position sharp noise and poor real-time performance, it is restricted in the infrared dim small target *** solve this problem, this paper establishes threedimensional dynamic queue pipeline, raises a dynamic queue strategy and uses space-domain algorithm based on morphology Top-Hat operator to do a second searching to ensure the continuity of the target and the pipeline. The simulation results show that for infrared sequential image, especially multi-target image, the method proposed in this paper can detect and output target trajectory nearly real-time, while ensuring an ideal probability of detection and low false alarm rate.
The Dynamic Adaptive Streaming over HTTP (DASH) enables bitrate adaptation through different representations of the same content. It is common to encode random access point (RAP) pictures at segment boundaries to supp...
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ISBN:
(纸本)9781479983407
The Dynamic Adaptive Streaming over HTTP (DASH) enables bitrate adaptation through different representations of the same content. It is common to encode random access point (RAP) pictures at segment boundaries to support representation switching. As an open group of pictures (GOP) results into a temporary discontinuity of the video playback due to the inability to decode some pictures when switching representations, closed GOP prediction structures are normally used in DASH. This paper proposes two similar methods for using the open GOP prediction structure in DASH representations while a full picture rate is maintained also during representation switching. The first method is enabled with straightforward changes in the decoding of the High Efficiency Video Coding (H.265/HEVC) standard, whereas the second method utilizes the adaptive resolution change feature of the scalable (SHVC) extension of H.265/HEVC. Experiments show that the proposed methods outperform the use of closed GOPs by 5.6% on average in terms of Bjontegaard delta bitrate (BD-rate).
The stretching process, as a key phase of web production system, pursues the target velocities of rollers and the web tensions of spans between the successive rollers to guarantee proper stretching ratios. This requir...
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In the era of cloud computing, there are many correlated images in the cloud, joint compression of these images may provide much higher compression ratio than individual coding. Model-based coding is an appealing appr...
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ISBN:
(纸本)9781479986897
In the era of cloud computing, there are many correlated images in the cloud, joint compression of these images may provide much higher compression ratio than individual coding. Model-based coding is an appealing approach to image coding in the cloud, as it removes knowledge redundancy among images that share the same model. In this paper, we make an attempt to model-based image coding for landmark images, where our model consists of three-dimensional (3-D) point-cloud plus image patches to describe the geometry and surface color of the landmark respectively. The camera parameters of an input image are estimated based on the 3-D point-cloud and the patches in the model, and then prediction image is generated by selecting, warping, and stitching image patches as well as illuminance compensation, the residue between original and prediction images is compressed by P-frame coding in HEVC encoder. We perform experiments on an Internet photo collection to verify the effectiveness of the proposed scheme. Preliminary results display the superior performance of our scheme that achieves as high as 39.9% bits saving compared to HEVC intra on a single image. The proposed scheme indicates a promising approach to image coding in the cloud and is worthy of in-depth investigation.
With the increasing popularity of mobile devices, there are more and more screens with heterogeneous resolutions. In order to solve the mismatching problem of images displaying on different screens, various image reta...
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ISBN:
(纸本)9781479989591
With the increasing popularity of mobile devices, there are more and more screens with heterogeneous resolutions. In order to solve the mismatching problem of images displaying on different screens, various image retargeting techniques have been proposed. However, little effective objective quality assessment metric for image retargeting has been proposed. In this paper, we propose an objective image retargeting quality assessment method based on Hybrid Distortion Pooled Model (HDPM) considering image local similarity, content information loss and image structural distortion. The proposed HDPM method measures the retargeted image's local similarity based on matching the similar block by Scale-Invariant Features Transform (SIFT) features and computing the corresponding blocks' similarity by structural similarity (SSIM). Furthermore, the image content information loss in retargeted image, which is regarded as the SIFT feature loss, is taken into account. Besides, we also consider image's structural distortion in the proposed method, which is based on GLCM (Gray-level co-occurrence matrix). To evaluate the effectiveness of the proposed method, extensive experiments have been conducted, and the results show improved consistency between the proposed HDPM method and the corresponding subjective evaluations.
Clutter is a serious problem existing in ultra wideband ground penetrating radar(UWB-GPR) *** heavily influences the target detection ability of radar *** scale of GPR reflected image is very different between target ...
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Clutter is a serious problem existing in ultra wideband ground penetrating radar(UWB-GPR) *** heavily influences the target detection ability of radar *** scale of GPR reflected image is very different between target reflected position and non-target reflected position,so as the gradient value of GPR reflected *** on this theory,gradient transform method to suppress GPR clutter is used in this *** first,the variety of clutter are been discussed,then the principle of gradient transform is been *** dealing with GPR experiment image,it shows that the gradient transform method used in GPR clutter suppression technology is effectiveness and stability.
This article consists of one slide from the authors' conference presentation. The Samsung Reconfigurable Processor is Samsung's proprietary DSP processor since 2005.
ISBN:
(纸本)9781467388863
This article consists of one slide from the authors' conference presentation. The Samsung Reconfigurable Processor is Samsung's proprietary DSP processor since 2005.
Driver training systemfor disable and elderly people to use electric wheelchairs has an important role for their independent mobility. In this paper a simulator platform of smart wheelchairs is presented for driver tr...
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