Pub Date : 2007-06-01DOI: 10.1111/J.1477-9730.2007.00432_1.X
J. Bamber
{"title":"Remote Sensing Of Snow and Ice","authors":"J. Bamber","doi":"10.1111/J.1477-9730.2007.00432_1.X","DOIUrl":"https://doi.org/10.1111/J.1477-9730.2007.00432_1.X","url":null,"abstract":"","PeriodicalId":56094,"journal":{"name":"Photogrammetric Record","volume":"19 1","pages":"180-181"},"PeriodicalIF":2.4,"publicationDate":"2007-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/J.1477-9730.2007.00432_1.X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63210811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2006-12-01DOI: 10.1111/j.1477-9730.2006.00406_1.x
V. K. Prasad
{"title":"Statistical Methods for Spatial Data Analysis","authors":"V. K. Prasad","doi":"10.1111/j.1477-9730.2006.00406_1.x","DOIUrl":"https://doi.org/10.1111/j.1477-9730.2006.00406_1.x","url":null,"abstract":"","PeriodicalId":56094,"journal":{"name":"Photogrammetric Record","volume":"21 1","pages":"414-415"},"PeriodicalIF":2.4,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/j.1477-9730.2006.00406_1.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63210756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2006-09-28DOI: 10.1111/J.1477-9730.1982.TB00174.X
I. Dowman, A. Morris
There is a growing interest in the potential of synthetic aperture radar (SAR) for mapping and for gathering intelligence for map revision. This paper first gives a simple guide to the characteristics of SAR and then describes a study carried out to investigate the geometric properties of the imagery and the information content which is of interest for topographic mapping and the production of large scale plans. The conclusions cautiously indicate a potential although better quality images are required and more information must be known about the optimum conditions which should obtain when the data are recorded. Resume On assiste a un interet croissant envers le radar a ouverture synthetique (SAR) et ses possibilityes pour la cartographie et pour la collecte de renseignements utiles a la revision. Ce texte commence par donner un simple rappel des caracteristiques de ces radars pour decrire ensuite une etude effectuee sur le contenu informatif et les proprietyes geometriques de l'imagerie radar, qui interesse la cartographie topographique et la confection de plans a grande echelle. Les conclusions font prudemment etat d'une potentialite mais soulignent qu'il faudrait disposer d'images de meilleure qualitye et avoir davantage d'informations sur les conditions optimales a respecter lors de l'enregistrement des donnees. Zusammenfassung Es besteht zunehmendes Interesse an den Moglichkeiten von Radaraufnahmen mittels synthetischer Apertur (SAR) zur Kartenherstellung und Erfassung von Daten zur Laufendhaltung. Zunachst wird im Artikel eine einfache Einfuhrung in die SAR-Charakteristika gegeben. Dann erfolgt eine Beschreibung eines Versuches zur Untersuchung der geometrischen Eigenschaften und des Informationsgehalts, der von Interesse fur die Herstellung topographischer und grossmassstabiger Karten ist. Vorsichtige Schlussfolgerungen ergeben Moglichkeiten zur Verwendung solcher Informationen, wobeijedoch eine bessere Bildqualitat zu fordern ist. Auch mussen noch mehr Kenntnisse uber die optimalen Bedingungen bezuglich der Datenregistrierung bestehen.
人们对合成孔径雷达用于制图和为修订地图收集情报的潜力越来越感兴趣。本文首先简单介绍了SAR的特点,然后介绍了一项研究,旨在研究SAR图像的几何特性和信息内容,这对地形测绘和大比例尺平面图的制作有重要意义。结论谨慎地表明,尽管需要更好的质量的图像和更多的信息必须知道的最佳条件下,应该获得的数据记录的潜力。在协助一个非互联网的可转换的环境,如雷达和合成孔径雷达(SAR),并提供可能性,以提供制图,并提供收集的资源,实用程序和修订。Ce对于我开始par唐纳联合国简单的绕绳下降des的特性de ces雷达倒描写一个套间预见练习曲effectuee苏尔le contenu informatif et les礼节在de l 'imagerie雷达,感兴趣的,la cartographie topographique等甜点de la计划grande中阶梯光栅。研究结果表明,在不同的条件下,潜在的主要特征是图像的处理、图像的质量、信息的优势,而在不同的条件下,信息的优势更明显。与此同时,研究人员还发现,合成孔径(SAR)是一种新型的光学合成孔径(SAR)。本文介绍了一种新型的激光激光成像技术。在此基础上,对几何特征和信息特征进行了研究,并对地形学家和大杀人犯进行了研究。(1)信息技术的发展与发展,信息技术的发展与发展,信息技术的发展。每一个人都知道,肯尼迪是最好的,因为他是最好的。
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Pub Date : 2006-09-28DOI: 10.1111/J.1477-9730.1962.TB00324.X
Fouad Amer
Different methods of analytical block adjustment are outlined and classified. Results of some practical experiments are summarized. A simple solution for block adjustment is discussed, where strips are divided into space sections. Air-station points are included in the solution to preserve, in the strips, their power of bridging. All sections are adjusted to the best fit with regard to each other as well as to ground control, by change of scale, rotations and shifts. To avoid the simultaneous solution of a very large number of equations in a corresponding number of unknowns, a simple iterative solution is used.
{"title":"DIGITAL BLOCK ADJUSTMENT","authors":"Fouad Amer","doi":"10.1111/J.1477-9730.1962.TB00324.X","DOIUrl":"https://doi.org/10.1111/J.1477-9730.1962.TB00324.X","url":null,"abstract":"Different methods of analytical block adjustment are outlined and classified. Results of some practical experiments are summarized. A simple solution for block adjustment is discussed, where strips are divided into space sections. Air-station points are included in the solution to preserve, in the strips, their power of bridging. All sections are adjusted to the best fit with regard to each other as well as to ground control, by change of scale, rotations and shifts. To avoid the simultaneous solution of a very large number of equations in a corresponding number of unknowns, a simple iterative solution is used.","PeriodicalId":56094,"journal":{"name":"Photogrammetric Record","volume":"4 1","pages":"34-49"},"PeriodicalIF":2.4,"publicationDate":"2006-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/J.1477-9730.1962.TB00324.X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63193455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2006-09-28DOI: 10.1111/J.1477-9730.1982.TB00176.X
S. O. Ihemadu
The algorithm presented assumes a preliminary determination of the elements of inner orientation and bases its mathematical model on the collinearity condition, from which projective equations are derived. Linearisation of condition equations is based on Taylor's expansion, whilst the subsequent solution follows iteration cycles. The method aims to derive composite corrections to image coordinates, with the aid of test field data. Resume L'auteur presente un algorithme ou l'on suppose determines au prealable les elements d'orientation interne. La modelisation mathematique s'appuie sur les conditions de co-linearite et sur les equations qui en resultent en projection. On linearise les equations de conditions en utilisant un developpement en serie de Taylor, et l'on obtient la solution correspondante par iteration. La methode vise a apporter des corrections aux coordonnees images en utilisant les donnees d'un polygone d'essai. Zusammenfassung Bei dem dargestellten Algorithmus wird die vorlaufige Bestimmung der Elemente der inneren Orientierung angenommen, und das mathematische Modell basiert aufder Kollinearitatsgleichung, woraus perspektive Gleichungen abgeleitet werden. Die Linearisierung der Bedingungsgleichungen erfolgt durch Anwendung der Taylor-Reihe, was fur die folgenden Berechnungen einen iterativen Prozess bedingt. Mit der Methode wird angestrebt, Bildkoordinaten mit Hilfe von Testfelddaten zu verbessern.
{"title":"AN ALGORITHM FOR THE CALIBRATION OF AERIAL PHOTOGRAPHIC SYSTEMS","authors":"S. O. Ihemadu","doi":"10.1111/J.1477-9730.1982.TB00176.X","DOIUrl":"https://doi.org/10.1111/J.1477-9730.1982.TB00176.X","url":null,"abstract":"The algorithm presented assumes a preliminary determination of the elements of inner orientation and bases its mathematical model on the collinearity condition, from which projective equations are derived. Linearisation of condition equations is based on Taylor's expansion, whilst the subsequent solution follows iteration cycles. The method aims to derive composite corrections to image coordinates, with the aid of test field data. \u0000 \u0000 \u0000 \u0000Resume \u0000 \u0000L'auteur presente un algorithme ou l'on suppose determines au prealable les elements d'orientation interne. La modelisation mathematique s'appuie sur les conditions de co-linearite et sur les equations qui en resultent en projection. On linearise les equations de conditions en utilisant un developpement en serie de Taylor, et l'on obtient la solution correspondante par iteration. La methode vise a apporter des corrections aux coordonnees images en utilisant les donnees d'un polygone d'essai. \u0000 \u0000 \u0000 \u0000Zusammenfassung \u0000 \u0000Bei dem dargestellten Algorithmus wird die vorlaufige Bestimmung der Elemente der inneren Orientierung angenommen, und das mathematische Modell basiert aufder Kollinearitatsgleichung, woraus perspektive Gleichungen abgeleitet werden. Die Linearisierung der Bedingungsgleichungen erfolgt durch Anwendung der Taylor-Reihe, was fur die folgenden Berechnungen einen iterativen Prozess bedingt. Mit der Methode wird angestrebt, Bildkoordinaten mit Hilfe von Testfelddaten zu verbessern.","PeriodicalId":56094,"journal":{"name":"Photogrammetric Record","volume":"10 1","pages":"705-712"},"PeriodicalIF":2.4,"publicationDate":"2006-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/J.1477-9730.1982.TB00176.X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63206629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2006-09-28DOI: 10.1111/J.1477-9730.1962.TB00323.X
D. W. Proctor
Analytical aerial triangulation is widely computed on electronic digital computers up to the block adjustment stage. Various possibilities for an analytical block adjustment are under consideration and one such method has been programmed at the Ordnance Survey of Great Britain. This paper briefly describes this adjustment and the trials so far conducted upon it. The trials suggest considerable economy without loss of accuracy when compared with the Jerie Analogue Computer at present in use.
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