贵州省矿山地质环境遥感调查评价

本文论述了利用遥感技术开展矿山地质环境问题调查的方法与技术路线,对贵州全省因矿山开采而诱发或产生的矿区生态环境恶化、水土流失、岩溶石漠化的加剧、水资源污染、地质灾害等各类矿山地质环境问题的遥感影像特征进行了总结。快速、准确、经济地摸清贵州省矿山地质环境现状及矿业开发对生态环境的影响;为合理开发矿产资源、保护地质环境、矿山环境整治、矿山生态恢复与重建、实施矿山地质环境监督等提供基础资料。     

多特征融合的高分辨率遥感影像飞机目标变化检测

为利用高分辨率遥感影像实现高精度的飞机目标变化检测,提出了一种自适应的多特征融合变化检测与深度学习相结合的方法。首先,通过加权迭代的多元变化检测法获取变化强度图,并结合自适应的直方图统计法自动获取显著的变化与不变化样本;然后,提取多时相影像的光谱、边缘和纹理特征,完成多特征融合的变化检测,并通过形态学处理得到变化图斑;最后,利用训练的NIN(Network in Network)结构的卷积神经网络飞机识别模型,完成变化图斑的类型判别,实现变化飞机的检测。实验结果表明,本文方法在两组数据的正确率分别达到100%和91.89%,均优于对比方法,能实现准确可靠的飞机目标变化检测。     

A Bayesian characterization of urban land use configurations from VHR remote sensing images

The composition and arrangement of spatial entities, i.e., land cover objects, play a key role in distinguishing land use types from very high resolution (VHR) remote sensing images, in particular in urban environments. This paper presents a new method to characterize the spatial arrangement for urban land use extraction using VHR images. We derive an adjacency unit matrix to represent the spatial arrangement of land cover objects obtained from a VHR image, and use a graph convolutional network to quantify the spatial arrangement by extracting hidden features from adjacency unit matrices. The distribution of the spatial arrangement variables, i.e., hidden features, and the spatial composition variables, i.e., widely used land use indicators, are then estimated. We use a Bayesian method to integrate the variables of spatial arrangement and composition for urban land use extraction. Experiments were conducted using three VHR images acquired in two urban areas: a Pleiades image in Wuhan in 2013, a Superview image in Wuhan in 2019, and a GeoEye image in Oklahoma City in 2012. Our results show that the proposed method provides an effective means to characterize the spatial arrangement of land cover objects, and produces urban land use extractions with overall accuracies (i.e., 86% and 93%) higher than existing methods (i.e., 83% and 88%) that use spatial arrangement information based on building types on the Pleiades and GeoEye datasets. Moreover, it is unnecessary to further categorize the dominant land cover type into finer types for the characterization of spatial arrangement. We conclude that the proposed method has a high potential for the characterization of urban structure using different VHR images, and for the extraction of urban land use in different urban areas.     

基于PHOTOMOD对不同类型航摄影像进行空三加密的方法研究

在学习PHOTOMOD基本功能的基础上,探索该软件对框幅式影像、卫星影像和推扫式三线阵影像进行空三加密的实现方法。其中,框幅式的实验数据包括传统RC-30胶片式影像以及带POS(POSition Orientation System)数据的UCE相机和UCXP_WA相机拍摄的影像;卫片的实验数据为法国的Pleiades卫星影像;推扫式的实验数据为ADS80 L1级影像。本文从空三加密中内定向、航线划分、同名点匹配和平差计算等主要功能出发,探索并总结了软件对以上影像进行空三加密的实现方法以及存在的主要问题。本文的试验和研究对空三加密和4D产品生产具有一定的参考价值和借鉴意义。     

一种基于遥感影像疑似违法用地图斑提取方法的研究

土地执法监察是国土资源管理的一项重要职能,高分辨率卫星遥感影像数据在执法监察中的应用,加大了违法用地执法监察的力度,缩短了执法周期,为城市执法监察人员对城市违法用地情况进行调查、执法并监督提供数据保障。本文主要是介绍通过对两时相遥感影像数据进行分析比对,按照一定规则提取变化图斑,再结合土地利用现状和土里利用规划等现势数据,及时确定疑似违法用地图斑的方法。     

多时相影像的典型区农作物识别分类方法对比研究

基于甘蔗和玉米的物候特征差异,对多时相影像典型分类方法处理的适宜性和准确性进行了比较研究。并以目视解译结果作为参考数据,利用全样本检验法,对自动分类的结果进行了精度检验。试验结果表明:面向对象法的分类精度最高,总体Kappa系数为0.655,是最适宜的方法;其次是BP神经网络法和光谱角制图法,总体Kappa系数分别为0.635和0.631;而最大似然法和分类后比较法则是不适宜采纳的分类方法,总体Kappa系数分别为0.601和0.577。上述分析可见,它们对遥感分类处理多时相影像识别算法的适用性选取有一定参考意义。     

基于三元组系数的水印算法

提出的水印方案堆于离散小波变换,利用三元组小波系数间的关系而不是单个小波系数来嵌入和提取水印.水印提取时不需要使用原始图像,算法简单,容易实现.实验结果表明该算法对大多数图像处理和攻击具有较好的鲁棒性.     

Application of Active Contour Model in Tracking Sequential Nearshore Waves

In the present study,a generalized active contour model of gradient vector flow is combined with the video techniques of Argus system to delineate and track sequential nearshore wave crest profdes in the shoaling process,up to their breaking on the shorehne.Previous applications of active contour models to water wave problems are limited to controllable wave tank experiments.By contrast,our application in this study is in a nearshore field environment where oblique images obtained under natural and varying condition of ambient light are employed.Existing Argus techniques produce plane image data or time series data from a selected small subset of discrete pixels.By contrast,the active contour model produces line image data along continuous visible curves such as wave crest profdes.The combination of these two existing techniques,the active contour model and Argus methodologies,facilitates the estimates of the direction wave field and phase speeds within the whole area covered by camera.These estimates are useful for the purpose of inverse calculation of the water depth.Applications of the present techniques to Hsi-tzu bay where a beach restoration program is currently undertaken are illustrated.This extension of Argus video techniques provides new application of optical remote sensing to study the hydrodynamics and morphology of a nearshore environment.     

基于CBERS影像的速生林信息提取方法研究

提出了一种运用遥感技术提取速生林信息的方法,实现了大区域速生林分布情况的检测。该方法基于CBERS影像多年际时间曲线趋势,根据速生林生长周期中被砍伐并翻地的特殊阶段表现在遥感影像上的不同电磁波谱特征,对其进行检测,从而实现速生林地的提取。在广东省雷州市试验的结果表明,速生林信息提取的总体精度为88%,CBERS CCD图像可以用于大区域的速生林信息提取。     

一种改进的序列图像激光线提取方法

利用结构光提取目标表面三维信息,对被测目标进行检测,是各种检测系统中常用的方法。由于激光具有方向性好,光能分布集中等优点,所以很多检测系统都采用激光作为检测光源。本文在分析了线型激光图像特征的基础上,针对旋转件在线同轴度检测系统所采用的红色激光条纹图像提出了一种精确、快速、稳定的激光线提取算法。