Remote sensing image processing device based on deep learning

A technology of remote sensing image processing and deep learning, which is applied in the field of remote sensing image processing devices, can solve the problems of limited applicable locations, insufficient heat dissipation, and high internal heat of the machine, and achieve the effects of easy cleaning or maintenance, good heat dissipation effect, and good fixing effect

Active Publication Date: 2022-04-22
西安中科西光航天科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology describes an improved system called Deep Learning Imaging Process (DLPI) used in remotely monitoring cameras. It uses advanced machine vision techniques such as depth fusion to improve detection accuracy while reducing noise interference during operation. Additionally, DLPI includes various fuzzy logic algorithms to enhance its functionality. Overall, this new design improves efficiency and safety when utilizing Remote Sensory Image Procession Cameras (RSICM).

Problems solved by technology

This patented technical solution described by the inventors describes how image processors like matrix calculators can help improve their performance while still being able to handle large amounts of data without overheating them too much.

Method used

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  • Remote sensing image processing device based on deep learning
  • Remote sensing image processing device based on deep learning
  • Remote sensing image processing device based on deep learning

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Experimental program
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Effect test

Embodiment 1

[0031]As shown in Figure 1-3 of the remote sensing image processing device based on deep learning, the present invention provides a technical solution: a remote sensing image processing device based on deep learning, including a processor box 1, the bottom of the processor box 1 is provided with a loop Shaped groove 2, the inner surface of back-shaped groove 2 is slidably connected with arc-shaped support platform 3, and there are four arc-shaped support platforms 3, and the outer surfaces of four arc-shaped support platforms 3 are all movably connected with connecting mechanism 4, and the processor The bottom of the box body 1 is fixedly connected with the connecting rod 5, and the front of the processor box body 1 is provided with a sliding groove 6, and the left and right sides of the inner surface of the sliding groove 6 are fixedly connected with the lifting rod 7, and the top of the lifting rod 7 runs through the processing The processor box 1 extends to the top of the proce

Embodiment 2

[0036] As shown in Figure 4-5 of the remote sensing image processing device based on deep learning, the present invention provides a technical solution: a remote sensing image processing device based on deep learning, the cleaning mechanism 12 includes a connecting cylinder 1201, the top and bottom of the connecting cylinder 1201 are respectively connected to The top and bottom of the inner surface of the processor box 1 are slidably connected, and the bottom of the connecting cylinder 1201 is rotatably connected with a rotating plate 1202 . The entire connecting cylinder 1201 can be rotated and moved along the heat dissipation position, and it can be stretched, and the inside of the cleaning port can be wiped repeatedly, and the cleaning device is easy to replace. There is a cleaning sheet wrapped around the outside, which can be torn off and replaced with a new one after use. continue to use.

[0037] The top and the bottom of the rotating plate 1202 are fixedly connected with

Embodiment 3

[0041] As shown in the remote sensing image processing device 6 based on deep learning, the present invention provides a technical solution: a remote sensing image processing device based on deep learning. The bottoms of the supporting platforms 3 are rotatably connected, and the opposite sides of the two arc-shaped supporting platforms 3 are provided with arc-shaped grooves, and the inner surfaces of the arc-shaped grooves are rotatably connected with sector-shaped fixing platforms 402 .

[0042] There are two fan-shaped fixed platforms 402 , the outer surface of the left fan-shaped fixed platform 402 is fixedly connected with an upper connection layer 403 , and the outer surface of the right fan-shaped fixed platform 402 is fixedly connected with a lower connection layer 404 .

[0043] The outer surface of the upper connection layer 403 is engaged with the outer surface of the lower connection layer 404, and the bottoms of the two fan-shaped fixed platforms 402 are provided with

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PUM

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Abstract

The invention discloses a remote sensing image processing device based on deep learning, and relates to the technical field of image processors. The remote sensing image processing device based on deep learning comprises a processor box body, and an adjusting mechanism, a connecting mechanism and a cleaning mechanism are additionally arranged in the whole remote sensing image processing device based on deep learning for cooperative use, so that a heat dissipation window can be cleaned in time; the situation that the heat dissipation window is blocked due to too much dust after the device is used for a long time is prevented, the heat absorption device is additionally arranged above the device, the heat dissipation effect is better, equipment damage caused by overheating after long-term use is avoided, in addition, a mechanism capable of supporting arms is arranged below the equipment, the equipment can be comfortably operated without a table top, and the practicability is high. The wire body can be retracted without occupying space when not in use, the internal fixation is realized, and a connecting mechanism which is convenient to open and connect with other equipment is arranged outside the equipment, so that the fixing effect is better, and the wire body can be protected and prevented from being twisted.

Description

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Claims

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Application Information

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Owner 西安中科西光航天科技有限公司
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