REGISTRATION OF MWIR LWIR BAND HYPERSPECTRAL IMAGES

Date

2016-08-24

Author

Koz, Alper
ÇALIŞKAN, Akın
Alatan, Abdullah Aydın

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

188
views

0
downloads

Previously proposed hyperspectral image registration methods mostly focus on the registration of the images including overlapping bands in VNIR and SWIR range. In contrary to previous methods, we investigate the registration of hyperspectral images with no-overlapping bands in MWIR and LWIR range in this paper. The proposed approach achieves the image registration over 2D maps extracted from 3D hyperspectral data cubes. Considering that the main component of the captured signal in MWIR-LWIR range is thermal radiation, we first propose to use the brightness-temperature estimate of hyperspectral pixels to form the 2D image. In addition, hyperspectral pixel energy, average emissivity and the first three components of principal component analysis (PCA) transform are also utilized and tested for 3D-2D conversion. The performance of the methods are evaluated by the matching ratio of the interest points and by generating mosaic images from the given maps. The experimental results indicate that brightness-temperature estimate, pixel energy and first principal component gives comparable results for image matching. The emissivity maps and the remaining principal components are found to be not successful for image registration as these features do not form a common base for different band signals.

Subject Keywords

Hyperspectral image registration, SIFT, Brightness-Temperature, PCA, Emissivity, MWIR, LWIR

URI

https://hdl.handle.net/11511/54421

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Matching of straight line segments from aerial stereo images of urban areas Ok, Ali Ozgun; Wegner, Jan Dirk; Heipke, Christian; Rottensteiner, Franz; Soergel, Uwe; Toprak, Vedat (2012-11-01) Reliable extraction of corresponding straight lines in overlapping images can be used for different purposes such as 3D object extraction, image registration, automated triangulation, etc. In this study, a new approach for the matching of straight line features from stereo aerial images is presented. Initial correspondences between stereo images are generated using a pair-wise stereo matching approach, which involves a total of seven relational constraints. The final straight line correspondences between th...
Analysis of Descent-Based Image Registration Vural, Elif (2013-01-01) We present a performance analysis for image registration with gradient descent. We consider a typical multiscale registration setting where the global two-dimensional translation between a pair of images is estimated by smoothing the images and minimizing the distance between them with gradient descent. Our study particularly concentrates on the effect of noise and low-pass filtering on the alignment accuracy. We analyze the well-behavedness of the image distance function by estimating the neighborhood of t...
Alignment of uncalibrated images for multi-view classification Arık, Sercan Ömer; Vural, Elif; Frossard, Pascal (2011-12-29) Efficient solutions for the classification of multi-view images can be built on graph-based algorithms when little information is known about the scene or cameras. Such methods typically require a pairwise similarity measure between images, where a common choice is the Euclidean distance. However, the accuracy of the Euclidean distance as a similarity measure is restricted to cases where images are captured from nearby viewpoints. In settings with large transformations and viewpoint changes, alignment of im...
Multi Modal Satellite Image Registration Using SIFT Vural, Mehmet Firat; Yardimci, Yasemin; Temizel, Alptekin (2009-04-11) Multi modal images need to be registered in order to use the unique information contained in these different modality images. In this paper, modifications on Scale Invariant Feature Transformation (SIFT), which is a popular method used for image matching, to improve its success on multi modal images are described. SIFT algorithm is immune to linear and partially immune to non-linear illumination changes. However, due to non linear illumination changes on multi-modal images, SIFT is not as powerful as it is ...
The Effect of Contrast Enhancement Techniques on Mutual Information Based Image Registration ATLI, İBRAHİM; Saracoglu, Ahmet; GEDİK, OSMAN SERDAR (2017-05-18) Mutual Information (MI) is one of the main methods for efficient registration of multiband images in the literature. Since images on different bands are often expressed in different numbers of bits, contrast enhancement is inevitable before MI-based image registration. Although the contrast enhancement method used has a significant effect on the registration performance due to MI metric, this problem is not sufficiently addressed in the literature. In this paper, the effect of the outstanding contrast enhan...

Citation Formats

A. Koz, A. ÇALIŞKAN, and A. A. Alatan, “REGISTRATION OF MWIR LWIR BAND HYPERSPECTRAL IMAGES,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54421.