Trial 1 Results:I. Coefficients and best model (b)w12-0.00128905528254109-2.369157516164952.439922680793100.1334171904268261.69629100452797

b12= -7.2120

w130.05569136285524920.0007056016114670280.0006641911052296610.00827462269303293-0.00338052937258546b13= -2.6179

w140.00931534837408421-0.115410831250531-0.006698071742981451.096828702606140.209169541819218b14= -13.4249

w230.3632577129673810.4069276800628320.3945746158889480.251573621140985-1.06479813957605b23= -8.9867

w240.005496311656315812.560605955965740.3996486465996300.311749137662076-1.99210605542943b24= -0.8562

w34-0.1993794058807790.007693008803474240.008544831680604830.08164985429629670.102051494416909b34= 5.3462II. Parameter C:Scale 1:

Scale 2:

Scale 3:

III. Hyper-planes Equations

a. w12-0.0013*[Area]-2.3692*[Roundness]+2.4399*[Compactness]+0.1334*[Mean Layer 1]+1.6963*[Standard deviation Layer 1]-7.2120b. w130.0557*[Area]+7.0560e-04*[Roundness]+6.6419e-04*[Compactness]+0.0083*[Mean Layer 1]-0.0034*[Standard deviation Layer 1]-2.6179c. w140.0093*[Area]-0.1154*[Roundness]-0.0067*[Compactness]+1.0968*[Mean Layer 1]+0.2092*[Standard deviation Layer 1]-13.4249d. w230.3633*[Area]+0.4069*[Roundness]+0.3946*[Compactness]+0.2516*[Mean Layer 1]-1.0648*[Standard deviation Layer 1]-8.9867e. w240.0055*[Area]+2.5606*[Roundness]+0.3996*[Compactness]+0.3117*[Mean Layer 1]-1.9921*[Standard deviation Layer 1]-0.8562f. w34-0.1994*[Area]+0.0077*[Roundness]+0.0085*[Compactness]+0.0816*[Mean Layer 1]+0.1021*[Standard deviation Layer 1]+5.3462

Monas model upon validation with my own samples in a different scene or area,Class 1 = Other Tall MW12>0, MW13>0, MW14,>0Class 2 = Buildings MW120, MW24>0Class 3 = Coconut MW13