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Deep Learning and Computer Vision in Remote Sensing - (Hardcover)

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About this item

Book Synopsis In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.

  • Features
    • In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision.
    • 572 Pages
    • Technology & Engineering, Remote Sensing & Geographic Information Systems

Specifications

Dimensions (Overall)

9.61 Inches (H) x 6.69 Inches (W) x 1.69 Inches (D)

Weight

3.14 Pounds

Suggested Age

22 Years and Up

Number of Pages

572

Genre

Technology & Engineering

Sub-Genre

Remote Sensing & Geographic Information Systems

Publisher

Mdpi AG

Format

Hardcover

Language

English

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