Image Registration for Remote Sensing最新文献

Gradient descent approaches to image registration 梯度下降图像配准方法

Image Registration for Remote Sensing Pub Date : 2011-03-01 DOI: 10.1017/CBO9780511777684.013

A. Cole-Rhodes, R. Eastman

{"title":"Gradient descent approaches to image registration","authors":"A. Cole-Rhodes, R. Eastman","doi":"10.1017/CBO9780511777684.013","DOIUrl":"https://doi.org/10.1017/CBO9780511777684.013","url":null,"abstract":"Abstract This chapter covers a general class of image registration algorithms that apply numerical optimization to similarity measures relating to cumulative functions of image intensities. An example of these algorithms is an algorithm minimizing the least-squares difference in image intensities due to an iterative gradient-descent approach. Algorithms in this class, which work well in 2D and 3D, can be applied simultaneously to multiple bands in an image pair and images with significant radiometric differences to accurately recover subpixel transformations. The algorithms discussed differ in the specific similarity measure, the numerical method used for optimization, and the actual computation used. The similarity measure can vary from a measure that uses a radiometric function to account for nonlinear image intensity differences in the least-squares equations, to one that is based on mutual information, which accounts for image intensity differences not accounted for by a standard functional model. The numerical methods considered are basic recursive descent, a method based on Levenberg-Marquardt's technique, and Spall's algorithm. This chapter relates to the above registration algorithms and classifies them by their various elements. It also analyzes the image classes for which variants of these algorithms apply best. Introduction We consider in this chapter a class of image registration algorithms that apply numerical techniques for optimizing some similarity measures that relate only to the image intensities (or a function of the image intensities) of an image pair.","PeriodicalId":431563,"journal":{"name":"Image Registration for Remote Sensing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Survey of image registration methods 图像配准方法综述

Image Registration for Remote Sensing Pub Date : 2011-03-01 DOI: 10.1017/CBO9780511777684.004

R. Eastman, N. Netanyahu, J. L. Moigne

{"title":"Survey of image registration methods","authors":"R. Eastman, N. Netanyahu, J. L. Moigne","doi":"10.1017/CBO9780511777684.004","DOIUrl":"https://doi.org/10.1017/CBO9780511777684.004","url":null,"abstract":"Introduction Automatic image registration, bringing two images into alignment by computing a moderately small set of transformation parameters, might seem a well-defined, limited problem that should have a clear, universal solution. Unfortunately, this is far from the state of the art. With a wide spectrum of applications to diverse categories of data, image registration has evolved into a complex and challenging problem that admits many solution strategies. The growing availability of digital imagery in remote sensing, medicine, and numerous other areas has driven a substantial increase in research in image registration over the past 20 years. This growth in research stems from both this increasing diversity in image sources, as image registration is applied to new instruments like hyperspectral sensors in remote sensing and medical imaging scanners in medicine, and new algorithmic principles, as researchers have applied techniques such as wavelet-based features, information theoretic metrics and stochastic numeric optimization. This chapter surveys the diversity of image registration strategies applied to remote sensing. The objectives of the survey are to explain basic concepts used in the literature, review selected algorithms, give an overall framework to categorize and compare algorithms, and point the reader to the literature for more detailed explanations. While manual and semi-manual approaches are still important in remote sensing, our primary intent is to review research approaches for building fully automatic and operational registration systems. Following the survey article by Brown (1992), we review an algorithm by considering the basic principles from which it is constructed.","PeriodicalId":431563,"journal":{"name":"Image Registration for Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130217299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Automated AVHRR image navigation 自动AVHRR图像导航

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/CBO9780511777684.018

W. Emery, R. Crocker, D. Baldwin

引用次数: 0

Matched filtering techniques 匹配滤波技术

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/CBO9780511777684.006

Qin-sheng Chen

引用次数: 3

Image registration using mutual information 使用互信息的图像配准

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/cbo9780511777684.007

A. Cole-Rhodes, P. Varshney

引用次数: 21

Fast correlation and phase correlation 快速相关和相位相关

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/CBO9780511777684.005

H. Stone

引用次数: 3

Landsat image geocorrection and registration 陆地卫星图像地理校正与配准

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/CBO9780511777684.019

J. Storey

引用次数: 5

Multitemporal and multisensor image registration 多时间和多传感器图像配准

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/CBO9780511777684.015

J. L. Moigne, A. Cole-Rhodes, R. Eastman, N. Netanyahu, H. Stone, I. Zavorin, J. Morisette

引用次数: 3

Bounding the performance of image registration 限制图像配准的性能

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/CBO9780511777684.014

Min Xu, P. Varshney

引用次数: 0

Registration of multiview images 多视图图像的配准

Image Registration for Remote Sensing Pub Date : 1900-01-01 DOI: 10.1017/CBO9780511777684.008

A. Goshtasby

引用次数: 0