Single-Pixel Remote Sensing

In this letter, we apply a new sampling theory named compressed sensing (CS) for aerospace remote sensing to reduce data acquisition and imaging cost. We can only record directly single or multiple pixels while need not the use of additional compression step to improve the problems of power consumption, data storage, and transmission, without degrading spatial resolution and quality of pictures. The CS remote sensing includes two steps: encoding imaging and decoding recovery. A noiselet-transform-based single-pixel imaging and a random Fourier-sampling-based multipixel imaging are alternatively used for encoding, and an iterative curvelet thresholding method is used for decoding. The new sensing mechanism shifts onboard imaging cost to offline decoding recovery. It would lead to new instruments with less storage space, less power consumption, and smaller size than currently used charged coupled device cameras, which would match effective needs particularly for probes sent very far away. Numerical experiments on potential applications for Chinese Chang'e-1 lunar probe are presented.     

基于Wold特征的遥感图像的分割

马尔可夫随机场模型是一种较好的纹理模型，但由于它是一个低阶的纯随机模型，因此用于图像分割时，区分相近纹理的能力仍然有限。将结合2维Wold分解技术来对遥感图像进行分割，通过调整不同性质谱分量的比例关系，放大相近谱峰值之间的差别，从而有利于Harmonic滤波器的信号选取，改善低阶马尔可夫分割场模型不能刻画结构性纹理的缺点。实验方法对城区目标进行提取，结果表明该方法的有效性优于纯Markov随机场所采取的分割方法。     

遥感图像数据复合方法

遥感图像数据复合是将多种遥感图像数据融合成一种新的图像数据的技术 ,是目前遥感应用分析的前沿 ,它主要包括几何配准和彩色变换两个方面的内容。几何配准采用相对配准和绝对配准两种方法 ;彩色变换采用 RGB彩色系统和 IHS彩色系统之间的变换。对SPOT和 TM图像数据进行复合实验 ,获得了一种新的复合图像。     

多光谱遥感电视系统

本文提出了一种利用增强型ＣＣＤ电视摄像技术，实现在可见光与近红外波段内的多光谱遥感成像。采用该技术可适时获取窄带光谱内的多光谱图像，从而为农业生产提供出更多的多光谱图像信息。     

《激光遥感》课程设计与思考

《激光遥感》课程是武汉大学遥感信息工程学院2010年本科生培养方案中设置的一门专业必修课,它面向本科学生提供LiDAR技术的学习和实践。针对教学大纲和LiDAR技术特点,分析了该课程的培养目标和重点,提出了课程建设方案。     

利用遥感影像进行变化检测

首先分析了利用影像进行变化检测的紧迫要求和存在的困难 ,接着对变化检测的方法进行分类 ,提出将影像配准与变化检测整体同步解求的思想和在此基础上进行三维变化检测的可能性 ,并在文中概要介绍和比较了各种变化检测的 7种方法 ,最后展望了下一步应继续研究的方向。     

Oceanographic Applications of SAR Remote Sensing

This paper provides a comprehensive review of the use of synthetic aperture radar for oceanographic applications. It summarizes the current state of the art, covering research and operational aspects of the various applications: ocean wave imaging, solitary waves, ocean currents, sea floor topography, oil spill detection, ship and wake detection, wind speed and direction as well as other wind related phenomena. The extensive references throughout the review can serve as starting point for a more intensive study of the ocean by novice and expert alike.