In this paper, the mobile robot position fusion algorithm is inaccurate. There a delay, and map-construction accuracy not high; an improvement method proposed. First, Cartographer optimized. Radius filtering used for data processing after voxel filtering. contrast, idea of multi-sensor to fuse processed IMU information. This improved improves efficiency positional pose fusion. We verify effect ...

in order to capability investigation on landsat-7 satellite etm+ data in separability forest type and mapping in the zagros region, a small window digital data dating july 2001 from ghalajeh forests in the kermanshah province were analyzed. ground data were provided the cluster sampling method and with 0.36 ha. no radiometric error was found then the quality investigations. orthorectification w...

In filamentous fungi, communication is essential for the formation of an interconnected, multinucleate, syncytial network, which is constructed via hyphal fusion or fusion of germinated asexual spores (germlings). Anastomosis in filamentous fungi is comparable to other somatic cell fusion events resulting in syncytia, including myoblast fusion during muscle differentiation, macrophage fusion, a...

a novel hybrid multifocus image fusion method. First, the source multifocus images are decomposed using the nonsubsampled contourlet transform (NSCT). The low-frequency sub-band coefficients are fused by the sum-modified-Laplacian-based local visual contrast, whereas the high-frequency sub-band coefficients are fused by the local Log-Gabor energy. The initial fused image is subsequently reconst...

Radar offers advantages as a robotic perception modality because it is not as vulnerable to the vacuum, dust, fog, rain, snow and light conditions found in construction, mining, agricultural and planetary-exploration environments. However radar has shortcomings such as a large footprint, sidelobes, specularity effects and limited range resolution—all of which result in poor environment maps. Th...

This paper describes our approach for the submission to the Mediaeval 2017 Predicting Media Interestingness Task, which was particularly developed for the Image subtask. An approach using a late fusion strategy is employed, combining classifiers from different features by stacking them using logistic regression (LR). As the task ground truth was based on pairwise evaluation of shots or keyframe...

The paper introduces a feature dimension reduction method called channel fusion, and a criterion for redundant channel detection named effective map distance. Channel fusion locally reduces the feature dimension by replacing the redundant channel pair with a single channel, suppressing the map distance between the two models. It is applicable to network model switching such as pruning hidden la...

In this paper, a new method of information fusion – DSmT (Dezert and Smarandache Theory) is introduced to apply to managing and dealing with the uncertain information from robot map building. Here we build grid map form sonar sensors and laser range finder (LRF). The uncertainty mainly comes from sonar sensors and LRF. Aiming to the uncertainty in static environment, we propose Classic DSm (DSm...

This paper considers the strategies of query expansion, relevance feedback and result fusion to increase both relevance and diversity in photo retrieval. In the text-based retrieval only experiments, the run with query expansion has better MAP and P20 than that without query expansion, and only has 0.85% decrease in CR20. Although relevance feedback run increases both MAP and P20, its CR20 decr...

In order to improve the fusion quality of IKONOS multispectral (MS) and panchromatic (Pan) images, this paper proposes a fusion method using maximum likelihood (ML) estimation. The proposed method firstly uses the sensor characteristics to model the observation process of both MS and Pan images. Then, the cost function with respect to the estimated high-resolution MS images is constructed based...