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| 1 | Feature detection and description for image matching:from hand-crafted design to deep learning显示文摘In feature based image matching,distinctive features in images are detected and represented by feature descriptors.Matching is then carried out by assessing the similarity of the descriptors of potentially conjugate points.In this paper,we first shortly discuss the general frame-work.Then,we review feature detection as well as the determination of affine shape and orientation of local features,before analyzing feature description in more detail.In the feature description review,the general framework of local feature description is presented first.Then,the review discusses the evolution from hand-crafted feature descriptors,e.g.SIFT(Scale Invariant Feature Transform),to machine learning and deep learning based descriptors.The machine learning models,the training loss and the respective training data of learning-based algorithms are looked at in more detail;subsequently the various advantages and challenges of the different approaches are discussed.Finally,we present and assess some current research directions before concluding the paper. | Lin Chen Franz Rottensteiner Christian Heipke | 2021 | Geo-Spatial Information Science2021，24，1： | 5 |
| 2 | Detection and Vectorization of Roads from LiDAR Data 显示文摘 | CLODE S ROTTENSTEINER F KOOTSOOKOS P | 2007 | Photogrammetric Engineering and Remote Sensing2007，73，5： | 1 |
| 3 | A strip adjustment approach for precise georeferencing of ALOS optical imagery显示文摘 | Rottensteiner F Weser T Lewis A | 2009 | IEEE Transactions on Geoscience and Remote Sensing2009，47，12： | 1 |
| 4 | Thebiochemistry of peroxisomal beta-oxidation in the yeastSaccharomyces cerevisiae显示文摘 | Hiltunen JK Mursula AM Rottensteiner H | 2003 | Federation of EuropeanMicrobiological Societies Microbiology Reviews2003，27，： | 1 |
| 5 | Thebiochemistry of peroxisomal beta-oxidation in the yeast Saccharomyces cerevisiae显示文摘 | Hiltunen J K Mursula A M Rottensteiner H | | 0，，： | 1 |
| 6 | Contextual classification of LiDAR data and building object detection in urban areas显示文摘 | Niemeyer J Rottensteiner F Soergel U | 2014 | ISPRS Journal of Photogrammetry and Remote Sensing2014，87，： | 1 |
| 7 | Development and Testing of a Generic Sensor Model for Pushbroom Satellite Imagery显示文摘 | WESER T ROTTENSTEINER F WILLNEFF J | 2008 | The Photogrammetric Record2008，23，123： | 1 |
| 8 | Detection and Vectorization of Roads from Li DAR Data显示文摘 | Clode S Rottensteiner F Kootsookos P | 2007 | American Society for Photogrammetry and Remote Sensing2007，73，5： | 1 |
| 9 | Automatic extraction of buildings from LiDAR data and aerial images显示文摘 | Rottensteiner F Jansa J | 2002 | International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences2002，34，4： | 1 |
| 10 | Automatic Generation of Building Models from LiDAR Data and the Inte- gration of Aerial Images显示文摘 | Rottensteiner F Briese Ch | 2003 | ISPRS2003，34，： | 1 |
| 11 | Using the DempsterShafer Method for the Fusion of LIDAR Data and Multi - spectral Images for Building Detection 显示文摘 | Rottensteiner F Trinder J Clode S | 2005 | Information Fusion2005，，6： | 1 |
| 12 | Building detection by fusion of airborne laser scanner data and multi-spectral images:Performance evaluation and sensitivity analysis显示文摘 | Rottensteiner F Trinder J Clode S | 2007 | ISPRS Journal of Photogrammetry and Remote Sensing2007，62，2： | 1 |
| 13 | Development and Testing of a Generic Sensor Model for Pushbroom Satellite Imagery显示文摘 | Weser T Rottensteiner F Willneff J | | 0，，123： | 1 |
| 14 | An Improved Pushbroom Scanner Model for Precise Gerefrencing of ALOS PRISM Imagery显示文摘 | Weser T Rottensteiner F Willneff J | | 0，，1： | 1 |
| 15 | A new method for building extraction in urban areas from high-resolution LiDAR data 显示文摘 | Rottensteiner F | 2002 | International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences2002，34，3： | 1 |
| 16 | Automatic extraction of buildings from LiDAR data and aerial images 显示文摘 | Rottensteiner F Jansa J | 2002 | International Archives of Photogrammetry and Remote Sensing2002，34，4： | 1 |
| 17 | Results of the ISPRS benchmark on urban object de- tection and 3D building reconstruction 显示文摘 | ROTTENSTEINER F SOHN G GERKE M | 2014 | ISPRS Journal of Photogrammetry and Remote Sensing2014，93，0： | 1 |
| 18 | An Im- proved Pushbroom Scanner Model for Precise Geo- referencing of ALOS PRISM Imagery显示文摘 | Weser T Rottensteiner F Willneff J | 2008 | The Inter- national Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences2008，37，1： | 1 |
| 19 | A new method for building extraction in urban areas from high-resolution LiDAR data 显示文摘 | Rottensteiner F | 2002 | International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences2002，343，3： | 1 |
| 20 | Detection and Vectorization of Roads from Lidar Data显示文摘 | Clode S Rottensteiner F Kootsookos P | 2007 | Photogrammetric Engineering and Remote Sensing2007，73，5： | 1 |
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