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首页> 外文期刊>Disaster prevention and management >Pixel-based airborne hyperspectral sensing technique for search-and-rescue of the missing RMAF NURI helicopter in Genting-Sempah, Malaysia
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Pixel-based airborne hyperspectral sensing technique for search-and-rescue of the missing RMAF NURI helicopter in Genting-Sempah, Malaysia

机译:基于像素的机载高光谱传感技术,用于在马来西亚云顶森巴省搜寻和救援失踪的RMAF NURI直升机

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Purpose — The purpose of this paper is to develop and describe a pixel-based airbornehyperspectral remote sensing system approach for searching for missing and lost RMAFaircraft, especially the NURI helicopter that crashed in Genting-Sempah, Malaysia on Friday 13July 2007, ten minutes after leaving the RMAF 10th Squadron based in Sg. Besi Camp, Selangor,Malaysia. It was reported found crashed with all six air force crew onboard killed, four days lateron 17 July 2007 at 13.25 hours 5 km North-west of Genting-Sempah-Karak-Highway. Design/methodology/approach — The objective is achieved by exploring the use of a veryhigh 1 m2 spatial resolution (pixel-based) airborne hyperspectral imaging system near real-timedata processing within two hours after landing. The UPM-Aeroscan's AISA is a state-of-the-artaircraft mounted commercial hyperspectral sensor operated for SAR development application byForest Geospatial Information and Survey Lab (FGISL)/Aeroscan Precision (M) Sdn Bhd. inBlock C3, UPM-MTDC Tech Centre, Lebuh Silikon, Universiti Putra Malaysia. It is designed toprovide a near real time, frequent, repetitive, accurate and reliable pushbroom instrument thatacquires images in hundreds of registered, contiguous narrow spectral band passes such that foreach element it is possible to derive a complete reflectance spectrum between the tree crowns, adamaged or slashed tree canopy and an anomaly especially metal like foreign object thatpenetrates into the tree crowns of a dense forest. Using an advanced Spectral Angle Mapper(SAM) digital analysis and two archives spectral signatures of flying and "parked" NURIhelicopters, in addition to ground supporting data from the civilian eye-witnesses, spectralmatching of images is applied to identify and map the missing helicopter. Findings — Despite the bad weather hampering the search and air surveillance-to-groundverifications, the NURI helicopter was reported found crashed with all six air force crew onboardkilled, four days later based on the GPS suspected locations analysed and mapped from theUPM-APSB's AISA airborne hyperspectral sensor data. The GPS locations given by the imagewere, however, not accurate for ground verifications since an old military topographical mapwere used. The GPS locations from the airborne image was transferred on to a Google Earthimage in the Operations Room but, for ground verifications, a different set of referencetopographical maps were used. However, the suspected search target sites were not that faraway from the actual sighted RMAF NURI helicopter wreckage. Originality/value — The value and contribution of this research are the successful applicationof operating a pixel-based airborne hyperspectral sensor to locate missing military helicopters inSAR. It is expected that the UPM-APSB's AISA airborne hyperspectral sensor can be of furtheruse in future SAR for missing civilian helicopters or commercial aircraft.
机译:目的—本文的目的是开发和描述一种基于像素的空中高光谱遥感系统方法,用于寻找失踪和丢失的RMAF飞机,尤其是2007年7月13日星期五在马来西亚离开云顶森帕的那空坠毁的NURI直升机位于Sg的RMAF第10中队。 Besi Camp,雪兰莪,马来西亚。据报道,坠机事故是在2007年7月17日四天后的Genting-Sempah-Karak-Highway西北5公里的13点25分,机上所有6名空军机组人员遇难。设计/方法/方法-通过着陆后两个小时内探索使用接近实时数据处理的非常高的1 m2空间分辨率(基于像素)的机载高光谱成像系统来实现此目标。 UPM-Aeroscan的AISA是最先进的商业化高光谱传感器,由林业地理空间信息与调查实验室(FGISL)/ Aeroscan Precision(M)Sdn Bhd。位于UPM-MTDC技术中心C3区块,用于SAR开发应用。马来西亚布特拉大学的Lebuh Silikon。它旨在提供近实时,频繁,重复,准确和可靠的手推扫帚仪器,该仪器可以采集数百个已注册的连续窄光谱带通行证中的图像,从而使每个元素都可以在受损或受损的树冠之间得出完整的反射光谱。砍伐的树冠和异常的金属,特别是金属异物,渗入茂密森林的树冠。使用先进的光谱角度映射器(SAM)数字分析和两个存档的飞行和“停放” NURI直升机的光谱特征,除了来自平民目击者的地面支持数据外,还应用了图像的光谱匹配来识别和映射失踪的直升机。调查结果—尽管恶劣的天气妨碍了搜索和地面监视的空中监视,但据报道,NURI直升机坠毁,所有六名空军机组人员均被杀死,四天后,根据UPM-APSB的AISA机载分析并绘制的GPS怀疑位置高光谱传感器数据。但是,由于使用了旧的军事地形图,因此该图像给出的GPS位置对于地面验证而言并不准确。来自机载图像的GPS位置已转移到手术室中的Google Earthimage上,但是,为了进行地面验证,使用了另一套参考地形图。但是,可疑的搜索目标地点距离实际看到的RMAF NURI直升机残骸并不远。原创性/价值-这项研究的价值和贡献是成功操作了基于像素的机载高光谱传感器来定位SAR中失踪的军用直升机。可以预期,UPM-APSB的AISA机载高光谱传感器可以在将来的SAR中,用于失踪的民用直升机或商用飞机。

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