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Remote Sensing
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Expand Up @@ -85,10 +85,22 @@ A software guide for medical image segmentation and registration algorithm. by Z

#### Remote Sensing


[Image Registration for Remote Sensing](https://www.amazon.com/Registration-Remote-Sensing-Jacqueline-Moigne-ebook/dp/B005252MNG/ref=sr_1_2?keywords=remote+sensing+registration&qid=1573642719&s=books&sr=1-2)

[2-D and 3-D Image Registration: For Medical, Remote Sensing, and Industrial Applications](www.researchgate.net/profile/Rachakonda_Poojitha/post/How_to_reconstruct_a_3D_image_from_two_2D_images_of_the_same_scene_taken_from_the_same_camera/attachment/59d61d9d6cda7b8083a16a8f/AS%3A271832186327046%401441821251591/download/2-D+and+3-D+Image+Registration+for+Medical%2C+Remote+Sensing%2C+and+Industrial+Applications.pdf) by A. A. Goshtasby, 2005.

[航空遥感图像配准技术](https://book.douban.com/subject/26711943/)

[基于特征的光学与SAR遥感图像配准](https://item.jd.com/12099246.html)

[基于特征的航空遥感图像配准及部件检测技术](https://item.jd.com/12576983.html)

[Introduction to Remote Sensing](https://www.amazon.com/Introduction-Remote-Sensing-Fifth-Campbell/dp/160918176X/ref=sr_1_2?keywords=remote+sensing&qid=1573643592&refinements=p_72%3A1250222011&rnid=1250219011&sr=8-2)

[Remote Sensing and Image Interpretation](https://www.amazon.com/Remote-Sensing-Interpretation-Thomas-Lillesand/dp/111834328X/ref=sr_1_1?keywords=remote+sensing&qid=1573643485&sr=8-1)

[Remote Sensing: Models and Methods for Image Processing](https://www.amazon.com/Remote-Sensing-Models-Methods-Processing/dp/0123694078/ref=sr_1_13?keywords=remote+sensing&qid=1573643706&refinements=p_72%3A1250222011&rnid=1250219011&sr=8-13)
### 1.2. Tutorials

#### Natural image
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#### Remote Sensing
- [Image Alignment and Stitching: A Tutorial](http://www.cs.toronto.edu/~kyros/courses/2530/papers/Lecture-14/Szeliski2006.pdf)

- [Image Registration for Remote Sensing](https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20120008278.pdf)

- [Image Stitching](https://www.zhihu.com/question/34535199/answer/135169187)

- [The Remote Sensing Tutorial 1](https://www.ucl.ac.uk/EarthSci/people/lidunka/GEOL2014/Geophysics%2010%20-Remote%20sensing/Remote%20Sensing%20Tutorial%20Overview.htm)

- [The Remote Sensing Tutorial 2](https://www.nrcan.gc.ca/maps-tools-publications/satellite-imagery-air-photos/tutorial-fundamentals-remote-sensing/9309)

#### Point Cloud

- [点云配准算法说明与流程介绍](https://blog.csdn.net/Ha_ku/article/details/79755623)
Expand Down Expand Up @@ -195,6 +214,9 @@ WBIR-International Workshop on Biomedical Image Registration

- [仿射变换与图像配准](https://www.bilibili.com/video/av52733294)(科普性视频, 比较简陋)

#### Remote Sensing
- [Registration of images of different modalities in Remote Sensing](https://youtu.be/9pPwNN-7oWU)



---
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### Remote Sensing

[C++] [OTB](https://github.com/orfeotoolbox/OTB): Orfeo ToolBox (OTB) is an open-source project for state-of-the-art remote sensing. Built on the shoulders of the open-source geospatial community, it can process high resolution optical, multispectral and radar images at the terabyte scale. A wide variety of applications are available: from ortho-rectification or pansharpening, all the way to classification, SAR processing, and much more!

[C++] [Python] [OpenCV](https://github.com/opencv/opencv): OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.

[C++] [ITK](https://itk.org/): **Insight Toolkit (ITK)** an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.

[Python] [Spectral Python (SPy)](https://github.com/spectralpython/spectral): Spectral Python (SPy) is a pure Python module for processing hyperspectral image data (imaging spectroscopy data). It has functions for reading, displaying, manipulating, and classifying hyperspectral imagery.

**Post Processing Tools**

[C++] [enblend](https://sourceforge.net/projects/enblend/): Enblend blends away the seams in a panoramic image mosaic using a multi-resolution spline. Enfuse merges different exposures of the same scene to produce an image that looks much like a tone-mapped image.

[C++] [maxflow](https://pub.ist.ac.at/~vnk/software.html): An implementation of the maxflow algorithm which can be used to detect the optimal seamline.

[C++] [Matlab] [gco-v3.0](https://github.com/nsubtil/gco-v3.0): Multi-label optimization library by Olga Veksler and Andrew Delong.

**Source Code**

[APAP](https://cs.adelaide.edu.au/~tjchin/apap/)

[AANAP](https://link.zhihu.com/?target=https%3A//github.com/YaqiLYU/AANAP)

[NISwGSP](https://github.com/firdauslubis88/NISwGSP)

[SPHP](https://link.zhihu.com/?target=http%3A//www.cmlab.csie.ntu.edu.tw/~frank/SPH/cvpr14_SPHP_code.tar)

[Parallax-tolerant image stitching](https://link.zhihu.com/?target=https%3A//github.com/gain2217/Robust_Elastic_Warping)



### Point Cloud
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#### Remote Sensing (!该部分需要重新编辑)
#### Remote Sensing

[**ISPRS Benchmarks**](https://www.isprs.org/education/benchmarks.aspx)

[**HPatches**](https://github.com/hpatches/hpatches-dataset): The HPatches dataset was used as the basis for the local descriptor evaluation challenge that was presented in the Local Features: State of the Art, Open Problems and Performance Evaluation workshop during ECCV 2016.

[**The Zurich Urban Micro Aerial Vehicle Dataset**](http://rpg.ifi.uzh.ch/zurichmavdataset.html)

[**Zurich Summer Dataset**](https://sites.google.com/site/michelevolpiresearch/data/zurich-dataset)

[**Inria Aerial Image Labeling DataSet**](https://project.inria.fr/aerialimagelabeling/)

[**LANDSAT**](https://github.com/olivierhagolle/LANDSAT-Download)

[**NWPU-RESISC45**](http://www.escience.cn/people/JunweiHan/NWPU-RESISC45.html)

[**DOTA**](http://captain.whu.edu.cn/DOTAweb/index.html)

[**MUUFLGulfport**](https://github.com/GatorSense/MUUFLGulfport)



Expand Down Expand Up @@ -472,31 +540,9 @@ Medical Imaging SPIE



#### Remote Sensing (!该部分需要重新编辑)

REMOTE SENSING OF ENVIRONMENT( IF 6.457),注重全球尺度或长时间尺度的遥感数据处理,极难

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING( IF5.994),注重对摄影测量与遥感领域的贡献和算法的创新性,极难

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING( IF4.662),注重算法的创新和论文结构的严谨性,很难

International Journal of Applied Earth Observation and Geoinformation( IF4.003),偏向于遥感数据在地学的大范围的应用

IEEE Geoscience and Remote Sensing Letters ( IF2.892),注重算法的创新,且全文要控制在双栏5页之内,较难

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing( IF2.777 ),偏向于创新方法在地学方面的应用

Remote sensing ( IF3.406),审稿周期短,发表相对容易,但是有降区的风险

GIScience & Remote Sensing

Photogrammetric engineering and remote sensing

International journal of remote sensing

Remote Sensing Letters
#### Remote Sensing

Journal of Applied Remote Sensing
[ISPRS-2020](http://www.isprs2020-nice.com/)

#### Point Cloud(!该部分需要重新编辑)

Expand All @@ -520,6 +566,34 @@ Journal of Applied Remote Sensing

[TBME: IEEE Transactions on Biomedical Engineering](https://tbme.embs.org/)

#### Remote Sensing

[Remote Sensing of Environment](https://www.journals.elsevier.com/remote-sensing-of-environment)

[ISPRS Journal of Photogrammetry And Remote Sensing](https://www.journals.elsevier.com/isprs-journal-of-photogrammetry-and-remote-sensing/)

[IEEE Transactions on Geoscience And Remote Sensing](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=36)

[International Journal of Applied Earth Observation and Geoinformation](https://www.journals.elsevier.com/international-journal-of-applied-earth-observation-and-geoinformation/)

[IEEE Geoscience and Remote Sensing Letters](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8859)

[IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing](https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4648334)

[Remote sensing](https://www.mdpi.com/journal/remotesensing)

[GIScience & Remote Sensing](http://www.bellpub.com/msrs/)

[Photogrammetric engineering and remote sensing](https://www.sciencedirect.com/journal/photogrammetric-engineering-and-remote-sensing)

[International journal of remote sensing](https://www.researchgate.net/journal/0143-1161_International_Journal_of_Remote_Sensing)

[Remote Sensing Letters](https://www.scimagojr.com/journalsearch.php?q=19700201680&tip=sid)

[Journal of Applied Remote Sensing](https://jars.msubmit.net/cgi-bin/main.plex)



#### **Point Cloud(!该部分需要重新编辑)**

IEEE旗下的TPAMI,TIP等,还有SIAM Journal Image Sciences,Springer那边有IJCV
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