PROBLEM TO BE SOLVED: To solve the following problem: in a conventional optical remote sensing measurement, it is not easy to specify a plant species of a plant of a measurement region, and it is difficult even by a method using the Normalized Differential Vegetation Index (NDVI), for example.SOLUTION: A spectrum intensity graph of image pixels wherein a target plant species is present is obtained by hyper spectrum image photography in one season, and a plurality of (e.g. four) indexes are acquired by arithmetic processing of a plurality of (e.g. five) values each indicating the local maximum or the local minimum by use of them appearing in a specific wavelength band in common in each plant species in the graph. A DB of a plant species specification index group thereof is generated, furthermore, a plant species specification index group in a different season of an unknown plant is also obtained, and a DB thereof is generated. The plant species specification index group of the one season of the unknown plant is obtained, and is compared with the plant species specification index group inside the DB. With the according plant species specification index group, the plant species is specified, and when there is no found plant species specification index group, the plant species specification index group in another different season and the DB in the same season are compared to specify the plant species.COPYRIGHT: (C)2013,JPO&INPIT【課題】従来の光学的なリモートセンシング測定において、測定領域の植物の植物種の特定は容易ではなく、例えば、正規化植生指数(NDVI)を用いた方法でも困難であった。【解決手段】一時節でのハイパースペクトル画像撮影によって対象植物種がある画像ピクセルのスペクトル強度グラフを得、同グラフで、各種植物種において特定波長バンドに共通出現する、複数(例えば5つ)の極大・極小を示す値を用い、それらの演算処理によって複数の指数(例えば4つ)を取得する。この植物種特定指数群をDB化し、更に異なる時節での植物種特定指数群も得てDB化する。未知の植物の一時節の植物種特定指数群を求め、DB中の植物種特定指数群と比較して合致するものをもって植物種を特定し、見出されなかった場合は、他の異なる時節での植物種特定指数群と同時節のDBを比較し、植物種の特定をする。【選択図】図9
