一個(gè)基于神經(jīng)網(wǎng)絡(luò)的航空照片自動(dòng)目標(biāo)識(shí)別算法
AN AUTOMATIC TARGET RECOGNITION ALGORITHM FOR AERIAL PHOTO BASED ON NEURAL NETWORK
-
摘要: 針對(duì)航空照片中自動(dòng)目標(biāo)識(shí)別的復(fù)雜性,該文提出了一種基于神經(jīng)網(wǎng)絡(luò)的自動(dòng)目標(biāo)識(shí)別算法,算法包括檢測(cè)和虛警排除兩個(gè)階段。檢測(cè)階段是在整幅區(qū)域中進(jìn)行快速搜尋,找出所有可能的目標(biāo);虛警排除階段是對(duì)檢測(cè)階段得到的結(jié)果進(jìn)行進(jìn)一步的驗(yàn)證,在盡可能保留全部真目標(biāo)的前提下,將偽目標(biāo)排除。實(shí)驗(yàn)結(jié)果證明了算法的可行性。Abstract: Due to the complexity of automatic target recognition for aerial photo this paper describes an automatic target recognition algorithm based on neural network. It includes two stages, target detection and false-alarm rejection. The first stage operates on the entire image to detect potential targets quickly. The second stage attempts to reject false target-like objects while retaining as many targets as possible. The experimental results show the algorithm is feasible.
-
B. Bhanu, Automatic target recognition, state of the art survey, IEEE Trans. On Aerospace Electron. Sys., 1986, AES-22(4), 364-379.[2]M.W. Roth, Survey of neural network technology for automatic target recognition, IEEE Trans. on Neural Networks, 1990, NN-1(1), 28-43.[3]A. Mahalanobis, B. V. K. Kumar, D. Casasent, Minimum average correlation energy filters, Appl. Opt, 1987, 26(2), 3633-3640. -
計(jì)量
- 文章訪問(wèn)數(shù): 2216
- HTML全文瀏覽量: 136
- PDF下載量: 518
- 被引次數(shù): 0
下載:
