Automatic Stitching for Hyperspectral Images Using Robust Feature Matching and Elastic Warp

Abstract

Hyperspectral images, which contain not only spatial information but also rich spectral information, have been extensively applied to the fields of agriculture, urban planning and so on. However, it is difficult for a single image to cover a large area. Therefore, it requires to take photos of various parts and apply image stitching technology to obtain a panoramic hyperspectral image. When the viewpoint of the scene changes a lot, the ghost issue will occur with traditional methods. In order to get the high-precision resultant panoramas, this paper proposes an automatic image stitching algorithm for hyperspectral images using robust feature matching and elastic warp. Our method contains two stages. The first stage is to choose one band as reference band and obtain the panorama in a single band. In particular, we extract feature points by SIFT. Then we propose an efficient algorithm called multiscale Top K Rank Preservation algorithm (mTopKRP), for establishing robust point correspondences between two sets of points. Next, we adopt robust elastic warp to obtain the panorama of each band. The second stage is to stitch all remaining bands based on the transformation obtained in the first stage and fuse the information of all bands together to get the final panoramic hyperspectral image. Extensive experiments have demonstrated the effectiveness of our proposed method.

[Retracted] Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis

“…From the analysis in Figure 8, it can be concluded that as the number of tasks increases, the success rate of the two Ours Literature [15] Literature [11] Literature [12] 6 Complexity algorithms decreases. As the task is successfully executed, the energy of mobile resources is consumed.…”

“…Regarding the algorithm research on service matching, the most influential one is the elastic matching algorithm [15]. e algorithm mainly considers service matching based on functionality, that is, considering the input and output parameters of the matching service.…”

“…is section verifies the effectiveness of the above algorithm through experiments. For the QoS service matching process that does not include user preferences, the algorithm in this paper and the calculation methods proposed in literature [11], literature [12], and literature [15] are implemented. e comparison result is shown in Figure 3.…”

Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves

“…Furthermore, image stitching algorithms are not able to perform datacube stitching. Only Zhang [18] proposed a robust elastic warp that fits first to the central spectral plane from one cube to another and then adapts the transformation to other spectral planes.…”

“…Then, reference layer stitching is performed by finding a single adequate model between the reference layer from datacube 1 and datacube 2. The same model is applied to other layers since each datacube is already aligned within layers [18].…”