Insect visual system inspired small target detection for multi-spectral remotely sensed images
Most existing target detection algorithms for multi-spectral remotely sensed images dependent on the background model or prior knowledge of spectral,so the false alarm rate of detection algorithms would be enhanced by clutter background and little prior information.Inspired by small target detection...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74418697/ |
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| _version_ | 1841537780120813568 |
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| author | HUANG Feng-chen1 LI Min1 SHI Ai-ye1 TANG Min1 XU Li-zhong1 |
| author_facet | HUANG Feng-chen1 LI Min1 SHI Ai-ye1 TANG Min1 XU Li-zhong1 |
| author_sort | HUANG Feng-chen1 |
| collection | DOAJ |
| description | Most existing target detection algorithms for multi-spectral remotely sensed images dependent on the background model or prior knowledge of spectral,so the false alarm rate of detection algorithms would be enhanced by clutter background and little prior information.Inspired by small target detection neurons of the insect visual system,a bionic small target detection model and its corresponded detection method were proposed for multi-spectral remotely sensed images.Based on the nonlinear filtering characteristic of neural cell which is sensitive to transient signals,target detection was completed by suppressing the local background texture and enhancing target feature.Experimental results showed that the proposed method can detect target with stable low false alarm rate under the condition of complexity background.Meanwhile,the proposed method can balance the contradictory relationship between spatial resolution and background complexity.Compared with existing target detection algorithms,it was simple and easy to be completed. |
| format | Article |
| id | doaj-art-45659fd22a46476fb65c87feb9a0e69a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-45659fd22a46476fb65c87feb9a0e69a2025-01-14T08:23:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132889574418697Insect visual system inspired small target detection for multi-spectral remotely sensed imagesHUANG Feng-chen1LI Min1SHI Ai-ye1TANG Min1XU Li-zhong1Most existing target detection algorithms for multi-spectral remotely sensed images dependent on the background model or prior knowledge of spectral,so the false alarm rate of detection algorithms would be enhanced by clutter background and little prior information.Inspired by small target detection neurons of the insect visual system,a bionic small target detection model and its corresponded detection method were proposed for multi-spectral remotely sensed images.Based on the nonlinear filtering characteristic of neural cell which is sensitive to transient signals,target detection was completed by suppressing the local background texture and enhancing target feature.Experimental results showed that the proposed method can detect target with stable low false alarm rate under the condition of complexity background.Meanwhile,the proposed method can balance the contradictory relationship between spatial resolution and background complexity.Compared with existing target detection algorithms,it was simple and easy to be completed.http://www.joconline.com.cn/zh/article/74418697/multi-spectral remote sensing imagetarget detectionsmall target detection neuronfalse alarm rate |
| spellingShingle | HUANG Feng-chen1 LI Min1 SHI Ai-ye1 TANG Min1 XU Li-zhong1 Insect visual system inspired small target detection for multi-spectral remotely sensed images Tongxin xuebao multi-spectral remote sensing image target detection small target detection neuron false alarm rate |
| title | Insect visual system inspired small target detection for multi-spectral remotely sensed images |
| title_full | Insect visual system inspired small target detection for multi-spectral remotely sensed images |
| title_fullStr | Insect visual system inspired small target detection for multi-spectral remotely sensed images |
| title_full_unstemmed | Insect visual system inspired small target detection for multi-spectral remotely sensed images |
| title_short | Insect visual system inspired small target detection for multi-spectral remotely sensed images |
| title_sort | insect visual system inspired small target detection for multi spectral remotely sensed images |
| topic | multi-spectral remote sensing image target detection small target detection neuron false alarm rate |
| url | http://www.joconline.com.cn/zh/article/74418697/ |
| work_keys_str_mv | AT huangfengchen1 insectvisualsysteminspiredsmalltargetdetectionformultispectralremotelysensedimages AT limin1 insectvisualsysteminspiredsmalltargetdetectionformultispectralremotelysensedimages AT shiaiye1 insectvisualsysteminspiredsmalltargetdetectionformultispectralremotelysensedimages AT tangmin1 insectvisualsysteminspiredsmalltargetdetectionformultispectralremotelysensedimages AT xulizhong1 insectvisualsysteminspiredsmalltargetdetectionformultispectralremotelysensedimages |