Target saliency – Bücher zum Thema Target saliency finden und kaufen

Springer Singapore
171.19 € · Hardcover

Target saliency Single object tracking Handcrafted features Deep learning Multi-object tracking Detection and tracking Feature extraction

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In...

Remote Sensing for Target Object Detection and Identification

MDPI
76.41 € · Paperback

anomaly detection hyperspectral imagery low-rank representation dictionary construction HSI reconstruction sparse coding adaptive weighting infrared small target detection local prior analysis nonconvex tensor robust principle component analysis partial sum of the tensor nuclear norm low rank sparse decomposition Lp-norm constraint non-convex optimization alternating direction method of multipliers

Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amoun...

Object Tracking Technology

Springer Singapore
128.39 € · Paperback

Target saliency Single object tracking Handcrafted features Deep learning Multi-object tracking Detection and tracking Feature extraction

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In...

Deep Learning Applications with Practical Measured Results in Electronics Industries

MDPI
66.49 € · Paperback

computational intelligence offshore wind forecasting machine learning neural networks neuro-fuzzy systems humidity sensor data fusion nonlinear optimization multiple linear regression GSA-BP geometric errors correction kinematic modelling lateral stage errors Imaging Confocal Microscope

This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial ...

Object Tracking Technology

Springer Singapore
117.69 € · eBook

Target saliency Single object tracking Handcrafted features Deep learning Multi-object tracking Detection and tracking Feature extraction

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In...

Learning to Understand Remote Sensing Images

MDPI
€ · Paperback

hyperspectral image classification SELF SVMs Segment-Tree Filtering multi-sensor change feature analysis object-based multispectral images heterogeneous domain adaptation transfer learning multi-view canonical correlation analysis ensemble semi-supervised learning canonical correlation weighted voting ensemble learning image classification

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remot...

Learning to Understand Remote Sensing Images

MDPI
€ · Paperback

hyperspectral image classification SELF SVMs Segment-Tree Filtering multi-sensor change feature analysis object-based multispectral images heterogeneous domain adaptation transfer learning multi-view canonical correlation analysis ensemble semi-supervised learning canonical correlation weighted voting ensemble learning image classification

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remot...

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