I think it only designs radar. I do not know how to plot heatmaps use this. All I am wanting to get is like the plots mentioned in this dataset. ieee-dataport.org/.../dataset-simulated-inverse-synthetic-aperture-radar-isar-images-automotive-targets They ...
MA-VIED: A Multisensor Automotive Visual Inertial Event Dataset MA-VIED is a real-world extensive set of data to support the development of solutions and algorithms for sensor fusion, event-based and frame-based visual tracking, including visual, visual-inertial odometry and SLAM applications. ...
SAR Image Dataset of Military Ground Targets with Multiple Poses for ATR Automatic Target Recognition (ATR) is the task of automatically detecting and classifying targets. Recognition using Synthetic Aperture Radar (SAR) images is interesting because SAR images can be acquired at night and under any...
There are 27 papers using MSTAR for image generation, which is the mostly applied dataset. For evaluation, the combination of SSIM and PSNR is applied most widely (32.19%). In conclusion, this review offers fresh perspectives on the direction in which deep generative models for SAR/ISAR image...
In the realm of dataset construction, we introduce a bin-by-bin fast clean algorithm and accelerate the processing speed significantly on the basis of image complete information. Subsequently, a spatial attention layer is incorporated into the prior network designed to augment the network'...
In addition, extensive experiments are conducted on the ISAR image dataset (including space stations, ships, aircraft, etc.). The evaluation results of our method on the dataset are significantly superior to those of traditional feature extraction methods and existing image quality assessment methods....
The dataset of the Yak-42 airplane is recorded by a C-band (5.52 GHz) ISAR experimental system. The system transmits a 400 MHz linear modulated chirp signal with 25.6 us pulse duration, providing a range resolution of 0.375 m. The de-chirp sampling rate is also 10 MHz. The SNR is up...
The proposed model is applied to an HR/LR image pair dataset of hypersonic objects. Compared with existing methods, the proposed method improved the classification and recognition accuracy from 54.4% to 81.8%.doi:10.1080/01431161.2022.2133578Jiang-Ting Li...
In addition, we originally propose a method to generate training dataset sourcing from the ISAR signal models with randomly chosen motion characteristics. Then, prediction results of the ANN estimator is used to directly compensate the ISAR image, or to provide a more accurate initial searching ...
MA-VIED: A Multisensor Automotive Visual Inertial Event Dataset MA-VIED is a real-world extensive set of data to support the development of solutions and algorithms for sensor fusion, event-based and frame-based visual tracking, including visual, visual-inertial odometry and SLAM applications. ...