基于纹理特征的围填海SAR图像分水岭分割方法

本文提出了一种基于纹理特征的围填海SAR图像分水岭分割方法,首先对机载MiniSAR图像进行灰度共生矩阵纹理滤波,获得纹理特征图像,再对纹理特征图像进行分水岭算法分割,将获得的形态学重建图像进行门限阈值分割,得到最后的二值化分割结果。该方法一方面通过调整灰度共生矩阵纹理滤波的窗口大小,抑制了斑点噪声的影响;另一方面,利用分水岭算法对边缘模糊杂乱图像的优势,提高了围填海信息提取的准确性。实验结果表明,本方法对高分辨率SAR图像围填海监测图像的分割效果良好。     

基于云存储技术的海岛信息管理和 展示平台设计与实现

随着海岛遥感影像数据的不断积累,传统数据存储管理方法越来越难以满足需求。针对上述问题,利用云存储技术对海岛影像数据进行分块组织,建立分布式海岛影像数据集,并在优化数据存储的同时,设计了一套海岛信息多形式展示平台。实现了信息检索、数据传输与审核、分析评价、成果展示和共享等功能。     

一种云端一体化的土地督察遥感监测方法

针对目前土地遥感监测工作中存在的监测频次低和数据现势性差等问题，通过统筹获取国产卫星影像数据提升监测频次，设计了多源遥感影像的空间网格组织和调度方法，改变传统的影像切片发布模式，建立实时影像服务方法，大幅提升了土地督察遥感监测时效。通过在国家土地督察济南局试点应用，研发了云端一体化的土地督察遥感监测服务平台，实践证明基于空间网格的影像组织管理效率优于传统金字塔切片管理模式，有效支撑了违法用地、永久基本农田保护和城市开发边界突破等监测预警，应用成效显著。     

基于LiDAR的农田地形环境三维重建方法

为克服传统农田土地平整测量方法耗时费力的特点，提出采用LiDAR技术对农田地形进行重建的探索性研究。通过HDL-32E型激光雷达等搭建了系统的硬件平台，应用C++语言编写了系统数据的采集程序；在此基础上对激光雷达所采集数据进行了标定，研究了农田地形重建系统中不同坐标系的转换方法；同时基于最小值去噪法设计了更适用于农田地形点云去噪的均值限差去噪法。通过对比在农田起伏较大区域不同坡度范围内RTK与激光雷达所测单元个数，对系统精度进行了评价；最后实现了车载农田地形重建系统的界面显示、应用与精度评估。结果表明，在10°~15°、25°~30°大坡度范围内激光雷达所获农田地形更为丰富，精度更高。该方法重建的农田地形模型点云数据和原始农田地形点云数据投影面积逼近度可达93%，验证了本文研究方法应用于农田地形环境重建的可行性，同时为今后的土地精细平整工作提供了理论参考与依据。     

顾及地形起伏的无人机影像覆盖分析方法

使用无人机实施测绘航空摄影时，由于无人机相对航高较低，地面起伏会对无人机影像的分辨率、覆盖范围、重叠度造成较大的影响，影像成果会出现分辨率不足、重叠度不够、覆盖漏洞等缺陷。针对这一情况，本文提出了一种利用数字微分正解法的计算方法，借助DEM准确计算每张影像的覆盖范围，并使用FME软件高效生成全部影像的覆盖范围。经过实际使用，验证了该方法可以在航线设计阶段准确预测并分析全部影像的覆盖范围、重叠度，因此可及时发现设计问题并调整航线。该方法可以有效减少因地形起伏造成的影像覆盖缺陷，减少返工现象，从整体上提高了作业效率。     

Wavelet Analysis of Space Solar Telescope Images

The scientific satellite SST (Space Solar Telescope) is an important research project strongly supported by the Chinese Academy of Sciences. Every day, SST acquires 50 GB of data (after processing) but only 10GB can be transmitted to the ground because of limited time of satellite passage and limited channel volume. Therefore, the data must be compressed before transmission. Wavelets analysis is a new technique developed over the last 10 years, with great potential of application. We start with a brief introduction to the essential principles of wavelet analysis, and then describe the main idea of embedded zerotree wavelet coding, used for compressing the SST images. The results show that this coding is adequate for the job.     

Real-time difference imaging analysis of MOA Galactic bulge observations during 2000

We describe observations carried out by the MOA group of the Galactic bulge during 2000 that were designed to detect efficiently gravitational microlensing of faint stars in which the magnification is high and/or of short duration. These events are particularly useful for studies of extrasolar planets and faint stars. Approximately 17 deg² were monitored at a sampling rate of up to six times per night. The images were analysed in real time using a difference imaging technique. 20 microlensing candidates were detected, of which eight were alerted to the microlensing community whilst in progress. Approximately half of the candidates had high magnifications (≳10), at least one had very high magnification (≳50), and one exhibited a clear parallax effect. The details of these events are reported here, together with details of the on-line difference imaging technique. Some nova-like events were also observed and these are described, together with one asteroid.