Se to K,L iu W.Com pa ring ARTM A P neura l netwo rk w iththe m ax mi um like lihood class ifier fo r detecting urbanchange.Photogramm e tric Eng inee ring and R emo te Sensing,2003,69(9):981～990.
[2]
Scho ttke r B,O ve r M,B raun M.M onitor ing State w ideU rban D evelopment U sing M ulti temporal, M u ltisensora lSa tellite Da ta Cover ing a 40 Y ear T mi e Span in N orthRh ine W estpha lia(G erm any).Proceed ing s of SP IE T heInternationa l Society fo r O ptica l Eng ineer ing,R em oteSensing fo r Env ironm en tal M on itor ing,G IS A pp lications,and G eo logy II.I2004,5239:252～261.
[3]
R ashed T,W eeks J,S tow D.M easuring temporal com positions o f urban mo rpho logy through spec tralm ix ture ana lysis:T owa rd a so ft appro ach to change analysis in crowdedc ities.Interna tiona l Journa l o f R em ote Sensing,2005,26(4):699～718.
[4]
Onana V,Rudant J,K ana%a T.U rban D ynam ics w ithM ulti temporal ENV ISAT/ERS SAR Im ages and M u ltispectra lHRV SPOT O ptical Im age U sing D ata Fusion Approach.P ro ceedings of the 2004 Env isat and ERS Sym posium,2005,572:991～995.
