灰度图象的直接Hough变换方法

提出了利用灰度图象的梯度直接进行Ｈｏｕｇｈ变换以检测条纹的方法,与传统Ｈｏｕｇｈ变换及直接利用灰度进行Ｈｏｕｇｈ变换检测条纹的方法相比,具有快速计算以及对图象噪声不敏感的特点。     

基于改进SSD算法的航拍目标检测算法研究

研究基于深度学习技术的无人机航拍图像目标检测算法,首先介绍目标检测算法SSD(Single Shot MultiBox Detector),并对其特征提取网络进行改进,采用稠密特征提取网络替换原网络的主干特征提取网络,提高算法的特征提取能力,从而提升了算法的检测精度。针对网络实时性问题,在算法中引入分组卷积,极大地减少了网络参数量,提升了网络推理速度。为解决训练中出现的正负样本不均衡问题,利用焦点损失（Focal Loss）改进了原算法的损失函数,进一步提升了网络的收敛速度和精度。最后,通过仿真验证了改进算法在目标检测精度上的优越性。     

一种航天器图像分类模型快速学习方法

为了有效分类空间目标,提出了一种航天器图像分类模型快速学习方法。分类模型的学习过程利用了分治思想,首先利用无监督聚类方法将图像数据集散列为类别桶,然后利用每个类别桶中的图像样本训练支持向量机完成学习过程。分类时利用支持向量机对待分类图像样本进行分类。实验结果表明,所提方法具有较好的实时性和准确率,能够为空间应用打下良好基础。     

Influence of processing and external storage conditions on the performance of envelope materials for stratospheric airships

Envelope materials are extremely vital for stratospheric airships, which are widely used in numerous applications. The influence of processing as well as the storage and utilization conditions on the performance of envelope materials has been studied systematically for the first time. Results show that the performance of envelope materials depends largely on the hot-pressing temperature and the flexing during processing. The tensile strength of samples dropped to 289.1 ± 8.0 MPa from 346.6 ± 9.3 MPa when pressed at temperature above 180 °C and helium leakage appeared. The outer layers would be worn off when flexed no matter by manual or machine, resulting in dramatic increase of helium permeability and even leakage as well as varying decrease of mechanical properties. Hence, suitable hot-pressing temperature and limitation of flexing as little as possible during processing are essential to obtain products with suitable properties. Besides, the storage and utilization conditions are also critical to the properties of envelope materials. Both naturally aged samples in outdoor storage on ground and samples recovered from actual flight on stratospheric airship exhibited reduced mechanical properties and even helium leakage due to excess solar irradiation, ozone concentration and energetic particles interaction compared with those stored indoors. The weatherability of envelope materials should be further strengthened in the next few years. This research could provide a theoretical guidance for actual practice.     

Improved detection of faint streaks based on a streak-like spatial filter

This paper presents an algorithm to detect very faint object streaks on CCD images acquired with an optical system. The proposed detection method uses image filters simulating the geometrical form and orientation of possible streaks on the CCD image. The method searches for a matching between streak and filter evaluating the convolutions of the image with all possible filters. Based on the statistics of the image background a threshold is applied in order to accept, respectively reject, the possible streak candidates. The detection probabilities and the effect of different parameter settings are estimated with tests on simulated images, while subframes of real images are used to evaluate the applicability of the algorithm to real cases. The detection probability of this method depends on the length and on the signal-to-noise ratio of the streak. For long streaks, a detection for signal-to-noise values around 0.5 is achieved. The further characterization of the detected streak (e.g. centroid and length), which is not performed in the current algorithm, and the reduction of the computation time, which is relatively high for full acquired frames, as well as possible improvements are briefly addressed.     

外弹道测量数据采集与处理技术

数据采集与处理技术是数据处理的关键。主要介绍外测事后数据处理过程中测量数据采集、异常数据识别、数据中奇异项剔除、数据丢点、重点检测方法、数据取齐、加密、压缩与采样时间校正、数据平滑滤波等关键技术,其对于研究数据处理新方法和提高数据处理精度,具有一定的参考价值。     

基于特征编码的飞机结构件工艺设计

为解决飞机结构件数控加工工艺决策效率低及自动化程度不高的问题,提出基于特征编码的飞机结构件工艺设计方法。首先,该方法借鉴成组技术,将飞机结构件加工元分类编码,形成特征编码表后,把通过特征识别得到的加工特征分解为加工元,与特征编码表匹配并排序得到加工方案。最后,在CATIA V5平台上开发了基于特征编码的飞机结构件工艺设计模块。     

Sub-pixel mineral mapping of a porphyry copper belt using EO-1 Hyperion data

The main aim of the present study was to examine the feasibility of the EO-1 Hyperion data in discriminating and mapping diagnostic alteration minerals around porphyry copper deposits (PCDs), verified by field surveys and laboratory analyses. A partial sub-pixel method, mixture tuned matched filtering (MTMF), was implemented on a pre-processed and calibrated Hyperion dataset. The tested area is situated at the Central Iranian Volcano-Sedimentary Complex, where abundant porphyry copper deposits like Sarcheshmeh, Darrehzar, and Sereidun are located. The characteristic alteration minerals identified by Hyperion data included biotite, muscovite, illite, kaolinite, goethite, hematite, jarosite, pyrophyllite, and chlorite. Discrimination of these minerals especially biotite and iron oxide (hematite and goethite) can provide valuable evidences for PCD exploration projects. Results revealed that Hyperion data prove to be powerful in discriminating and mapping various types of alteration zones while the data were subjected to adequate pre-processing.     

一种适合星载多光谱图像的压缩算法研究

文章提出了一种适合星载多光谱（4个谱段）图像压缩方法,根据多光谱图像之间相关性较强和卫星对地通道传输速率有限的特点,利用谱段变换,调整各谱段之间的信息量分配,形成新的谱段数据,并对新谱段数据压缩比进行适当调整,完成多光谱图像数据压缩。采用此算法后,可以使平均压缩比不变的情况下,4个谱段恢复的多光谱图像大部分峰值信噪比（Peak Signal Noise Ratio,PSNR）与直接压缩图像后的PSNR值相比有所提高。     

气象云图分级配准方法研究

气象云图序列图像由气象卫星分时拍摄而获得.在相邻两幅图像的拍摄时间间隔内,卫星传感器的位置及大气云层的形态都发生了一定的变化.因此,气象云图序列图像同时具有刚性形变和非刚性形变.针对这一特征,提出气象云图分级配准方法.首先采用基于Forstner特征点的刚性配准算法,校正由于传感器位置变化引起的旋转和平移等图像整体刚性...