红外技术
紅外技術
홍외기술
INFRARED TECHNOLOGY
2013年
2期
88-96
,共9页
红外目标识别%图像复杂度%度量方法
紅外目標識彆%圖像複雜度%度量方法
홍외목표식별%도상복잡도%도량방법
infrared target recognition%image complexity%metric
红外图像复杂度度量方法不仅可以用于描述目标识别面临的复杂场景变化,而且在红外成像系统性能预测与评估、目标识别算法性能对比、建立和改进目标获取性能模型等方面也有广泛而重要的应用.给定了红外目标识别图像复杂度的定义,对该领域近年来最新出现的和部分经典的度量方法进行系统的归纳总结和对比分析,提出了度量方法选择的依据,指出了现有度量方法的缺点和不足,并指出红外目标识别图像复杂度度量未来将向着融合多种特征或者综合多种度量方法的趋势发展.
紅外圖像複雜度度量方法不僅可以用于描述目標識彆麵臨的複雜場景變化,而且在紅外成像繫統性能預測與評估、目標識彆算法性能對比、建立和改進目標穫取性能模型等方麵也有廣汎而重要的應用.給定瞭紅外目標識彆圖像複雜度的定義,對該領域近年來最新齣現的和部分經典的度量方法進行繫統的歸納總結和對比分析,提齣瞭度量方法選擇的依據,指齣瞭現有度量方法的缺點和不足,併指齣紅外目標識彆圖像複雜度度量未來將嚮著融閤多種特徵或者綜閤多種度量方法的趨勢髮展.
홍외도상복잡도도량방법불부가이용우묘술목표식별면림적복잡장경변화,이차재홍외성상계통성능예측여평고、목표식별산법성능대비、건립화개진목표획취성능모형등방면야유엄범이중요적응용.급정료홍외목표식별도상복잡도적정의,대해영역근년래최신출현적화부분경전적도량방법진행계통적귀납총결화대비분석,제출료도량방법선택적의거,지출료현유도량방법적결점화불족,병지출홍외목표식별도상복잡도도량미래장향착융합다충특정혹자종합다충도량방법적추세발전.
Metrics of infrared image complexity were not only used to characterize the variation of complex scenario for target recognition, but also are applied widely in infrared imaging system performance prediction and evaluation, performance comparison of target recognition algorithms, constructing and improving target acquisition model, and other fields. The definition of image complexity for infrared target recognition is presented, and some recently presented and some classical image complexity metrics in this field are summarized and analyzed comparatively. The basis for choosing metrics is proposed, and the shortcomings and deficiencies of existing metrics are pointed out. Image complexity metrics for infrared target recognition will develop towards fusing many features or integrating many metrics in the future.