2021
DOI: 10.1007/978-981-16-7466-2_120
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Remote Sensing Image Target Recognition System Based on Heapsort

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Cited by 2 publications
(2 citation statements)
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“…However, when the number of radiation sources is too large, echo signals will overlap, and factors such as ultra-high speed motion and sea clutter will affect the identification results [13] [14] . The ship target recognition technology based on satellite remote sensing image can clearly reflect the color environment of multiple targets, but its acquisition cycle is long, and it cannot recognize the monitored targets in real time [15] . The ship target recognition technology based on visible image [16] can achieve a higher resolution image within the visual range, with low cost and rich colors, and it is not easy to expose the monitoring position.…”
Section: Introductionmentioning
confidence: 99%
“…However, when the number of radiation sources is too large, echo signals will overlap, and factors such as ultra-high speed motion and sea clutter will affect the identification results [13] [14] . The ship target recognition technology based on satellite remote sensing image can clearly reflect the color environment of multiple targets, but its acquisition cycle is long, and it cannot recognize the monitored targets in real time [15] . The ship target recognition technology based on visible image [16] can achieve a higher resolution image within the visual range, with low cost and rich colors, and it is not easy to expose the monitoring position.…”
Section: Introductionmentioning
confidence: 99%
“…e traditional deserti cation research mainly adopts the arti cial eld mapping method, which has the disadvantages of time-consuming, laborious, and low e ciency in the implementation process [7]. With the emergence of remote sensing technology [9][10][11] and vigorous development of information technology [12][13][14][15][16][17][18], its macro-, objective, and economic advantages make up for the shortcomings of traditional deserti cation research to a certain extent, so it can better deal with environmental change monitoring [16][17][18]. On the other hand, with the development of computer technology, the machine learning method [19][20][21] is widely used in the classi cation and extraction of remote sensing images.…”
Section: Introductionmentioning
confidence: 99%