From 7139303ea3ea8be7d2816f39757e8ad8a0ac477f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=9D=A8=E5=86=9B=E6=98=9F?= <1090930627@qq.com> Date: Wed, 13 Nov 2019 20:36:23 +0800 Subject: [PATCH] Update README.md --- README.md | 48 ++++++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 44 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 2a32e5a..737c800 100644 --- a/README.md +++ b/README.md @@ -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 @@ -117,9 +129,14 @@ A software guide for medical image segmentation and registration algorithm. by Z #### 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) @@ -197,6 +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) + --- @@ -259,16 +279,33 @@ WBIR-International Workshop on Biomedical Image Registration [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 @@ -349,6 +386,8 @@ https://cdas.cancer.gov/nlst/ [**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) @@ -503,7 +542,7 @@ Medical Imaging SPIE #### Remote Sensing - +[ISPRS-2020](http://www.isprs2020-nice.com/) #### Point Cloud(!该部分需要重新编辑) @@ -529,11 +568,11 @@ Medical Imaging SPIE #### Remote Sensing -[REMOTE SENSING OF ENVIRONMENT](https://www.journals.elsevier.com/remote-sensing-of-environment) +[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/) +[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) +[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/) @@ -554,6 +593,7 @@ Medical Imaging SPIE [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