scholarly journals Surface displacements in the September 2005 Afar rifting event from satellite image matching: Asymmetric uplift and faulting

2009 ◽  
Vol 36 (7) ◽  
pp. n/a-n/a ◽  
Author(s):  
Ivana Barisin ◽  
Sebastien Leprince ◽  
Barry Parsons ◽  
Tim Wright
Keyword(s):  
Image Matching ◽  
Satellite Image ◽  
Surface Displacements

scholarly journals Hybrid Invariant Local Features for Multiple Satellite Image Matching and Registration

2019 ◽  
Vol 9 (2) ◽  
pp. 309-314
Keyword(s):  
Image Matching ◽  
Feature Matching ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Local Features ◽  
Feature Descriptor ◽  
Matching Method ◽  
Multiple Images ◽  
Feature Sets ◽  
Precise Relationship

Automatic image registration (IR) is very challenging and very important in the field of hyperspectral remote sensing data. Efficient autonomous IR method is needed with high precision, fast, and robust. A key operation of IR is to align the multiple images in single co-ordinate system for extracting and identifying variation between images considered. In this paper, presented a feature descriptor by combining features from both Feature from Accelerated Segment Test (FAST) and Binary Robust Invariant Scalable Key point (BRISK). The proposed hybrid invariant local features (HILF) descriptor extract useful and similar feature sets from reference and source images. The feature matching method allows finding precise relationship or matching among two feature sets. An experimental analysis described the outcome BRISK, FASK and proposed HILF in terms of inliers ratio and repeatability evaluation metrics.

UAVs Safe Landing Using Range Images

2011 ◽  
Author(s):  
Emanuele Frontoni ◽  
Adriano Mancini ◽  
Primo Zingaretti
Keyword(s):  
Image Analysis ◽  
Image Matching ◽  
Autonomous Navigation ◽  
Satellite Image ◽  
Guidance System ◽  
Final Position ◽  
Aerial Vehicle ◽  
Feature Based ◽  
Uav Navigation ◽  
Remote User

In this paper a mixed vision-range based approach, based on Kinect technology, for safe landing of an Unmanned Aerial Vehicle (UAV) is proposed. The guidance system allows a remote user to define target areas from an high resolution aerial or satellite image to determine the waypoints of the navigation trajectory or the landing area. The system is based on our previous work on UAV navigation and landing: a feature-based image matching algorithms finds the natural landmarks and gives feedbacks to the control system for autonomous navigation and landing. An algorithm for safe landing areas detection is proposed, based on the use of 4D RGBD (Red, Green, Blue, Distance) image analysis. The helicopter is required to navigate from an initial to a final position in a partially known environment, to locate a landing area and to land on it. Results show the appropriateness of the vision-based approach that does not require any artificial landmark (e.g., helipad) and is quite robust to occlusions, light variations and high vibrations.

Satellite Image Matching and Registration: A Comparative Study Using Invariant Local Features

2016 ◽  
pp. 135-171 ◽  
Author(s):  
Mohamed Tahoun ◽  
Abd El Rahman Shabayek ◽  
Hamed Nassar ◽  
Marcello M. Giovenco ◽  
Ralf Reulke ◽  
...  
Keyword(s):  
Comparative Study ◽  
Image Matching ◽  
Satellite Image ◽  
Local Features

scholarly journals Two-dimensional Co-Seismic Surface Displacements Field of the Chi-Chi Earthquake Inferred from SAR Image Matching

Sensors ◽  
2008 ◽  
Vol 8 (10) ◽  
pp. 6484-6495 ◽  
Author(s):  
Jun Hu ◽  
Zhi-wei Li ◽  
Xiao-Li Ding ◽  
Jian-Jun Zhu
Keyword(s):  
Image Matching ◽  
Sar Image ◽  
Two Dimensional ◽  
Surface Displacements

Reduction of computational effort in satellite image matching

2012 ◽  
Vol 22 (1) ◽  
pp. 236-243 ◽  
Author(s):  
I. N. Kaveev ◽  
A. G. Tashlinskii ◽  
R. M. Kurbanaliev
Keyword(s):  
Image Matching ◽  
Satellite Image ◽  
Computational Effort

Block-and-octave constraint SIFT with multi-thread processing for VHR satellite image matching

2017 ◽  
Vol 8 (12) ◽  
pp. 1180-1189 ◽  
Author(s):  
Siliang Du ◽  
Mi Wang ◽  
Shenghui Fang
Keyword(s):  
Image Matching ◽  
Satellite Image
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