IEEE Geoscience and Remote Sensing Magazine - March 2021 - 44

TABLE 12. DETAILED STATISTICAL RESULTS, WITH A 95% CONFIDENCE INTERVAL, BASED ON THE WATER-SCENARIO DATA SET.
REDUCED RESOLUTION
METHOD

ERGAS

SAM

FULL RESOLUTION
Q2N -INDEX

Dm

Ds

QNR

PCA

[2.299, 3.528]

[2.443, 1.847]

[0.452, 0.546]

[0.101, 0.139]

[0.213, 0.28]

[0.629, 0.706]

HIS

[1.381, 1.871]

[0.122, 0.805]

[0.499, 0.604]

[0.189, 0.253]

[0.306, 0.396]

[0.465, 0.568]

Brovey

[1.395, 1.895]

[0.087, 0.75]

[0.502, 0.606]

[0.141, 0.194]

[0.272, 0.359]

[0.528, 0.628]

BDSD

[1.56, 2.232]

[0.21, 0.922]

[0.568, 0.668]

[0.064, 0.084]

[0.061, 0.086]

[0.843, 0.874]

GS

[1.51, 2.155]

[0.298, 0.981]

[0.503, 0.606]

[0.086, 0.113]

[0.217, 0.284]

[0.641, 0.714]

GSA

[1.362, 1.973]

[0.118, 0.772]

[0.559, 0.675]

[0.101, 0.136]

[0.23, 0.296]

[0.616, 0.693]

PRACS

[1.262, 1.709]

[0.076, 0.701]

[0.588, 0.695]

[0.051, 0.07]

[0.156, 0.212]

[0.736, 0.8]
[0.614, 0.704]

HPF

[1.59, 2.248]

[0.115, 0.788]

[0.55, 0.648]

[0.135, 0.173]

[0.192, 0.267]

SFIM

[3.885, 78.517]

[0.464, 1.003]

[0.537, 0.626]

[0.132, 0.171]

[0.189, 0.265]

[0.617, 0.71]

Indusion

[1.839, 2.609]

[0.23, 0.919]

[0.513, 0.603]

[0.115, 0.156]

[0.178, 0.243]

[0.646, 0.733]

ATWT

[1.544, 2.184]

[0.119, 0.785]

[0.557, 0.656]

[0.142, 0.179]

[0.207, 0.282]

[0.597, 0.686]

AWLP

[1.620, 2.331]

[0.134, 0.778]

[0.583, 0.685]

[0.153, 0.196]

[0.214, 0.293]

[0.577, 0.673]

ATWT-M2

[1.416, 1.957]

[0.111, 0.762]

[0.566, 0.671]

[0.163, 0.206]

[0.188, 0.24]

[0.609, 0.681]

ATWT-M3

[1.501, 2.092]

[0.114, 0.767]

[0.578, 0.683]

[0.131, 0.17]

[0.126, 0.174]

[0.692, 0.759]

MTF-GLP

[1.293, 1.869]

[0.125, 0.739]

[0.582, 0.69]

[0.136, 0.175]

[0.221, 0.293]

[0.59, 0.679]

MTF-GLP-HPM-PP

[8.758, 48.768]

[0.647, 1.036]

[0.564, 0.662]

[0.133, 0.174]

[0.217, 0.291]

[0.594, 0.685]

MTF-GLP-HPM

[4.747, 13.646]

[0.174, 0.837]

[0.526, 0.614]

[0.079, 0.108]

[0.115, 0.171]

[0.744, 0.817]

MTF-GLP-CBD

[1.487, 2.284]

[0.137, 0.7]

[0.618, 0.741]

[0.056, 0.081]

[0.107, 0.149]

[0.784, 0.845]

MSDCNN

[1.184, 1.804]

[0.798, 1.153]

[0.483, 0.626]

[0.095, 0.118]

[0.054, 0.07]

[0.824, 0.849]

TABLE 13. DETAILED STATISTICAL RESULTS, WITH A 95% CONFIDENCE INTERVAL, BASED ON THE UNLABELED DATA SET WITH
MIXED SURFACE FEATURES.
REDUCED RESOLUTION

44

FULL RESOLUTION

METHOD

ERGAS

SAM

Q2N -INDEX

Dm

Ds

QNR

PCA

[2.329, 2.682]

[2.922, 3.446]

[0.69, 0.724]

[0.068, 0.079]

[0.185, 0.225]

[0.721, 0.762]

HIS

[2.003, 2.216]

[2.067, 2.282]

[0.61, 0.638]

[0.147, 0.16]

[0.252, 0.281]

[0.609, 0.639]

Brovey

[1.911, 2.108]

[1.885, 2.075]

[0.628, 0.655]

[0.128, 0.139]

[0.235, 0.262]

[0.639, 0.667]

BDSD

[1.633, 1.827]

[1.904, 2.115]

[0.802, 0.82]

[0.025, 0.029]

[0.058, 0.067]

[0.908, 0.918]

GS

[1.948, 2.174]

[2.12, 2.382]

[0.709, 0.735]

[0.073, 0.083]

[0.187, 0.219]

[0.721, 0.755]

GSA

[1.681, 1.882]

[1.86, 2.059]

[0.777, 0.799]

[0.085, 0.098]

[0.183, 0.209]

[0.719, 0.75]

PRACS

[1.564, 1.746]

[1.774, 1.965]

[0.795, 0.814]

[0.036, 0.042]

[0.112, 0.128]

[0.837, 0.856]

HPF

[1.702, 1.897]

[1.769, 1.956]

[0.754, 0.777]

[0.092, 0.103]

[0.127, 0.144]

[0.771, 0.794]

SFIM

[1.526, 3.34]

[1.769, 1.957]

[0.756, 0.779]

[0.092, 0.104]

[0.125, 0.142]

[0.773, 0.796]

Indusion

[2.094, 2.318]

[1.986, 2.181]

[0.688, 0.713]

[0.093, 0.105]

[0.089, 0.104]

[0.805, 0.826]

ATWT

[1.649, 1.842]

[1.736, 1.923]

[0.764, 0.788]

[0.105, 0.116]

[0.157, 0.176]

[0.732, 0.757]

AWLP

[1.707, 1.917]

[1.834, 2.041]

[0.768, 0.79]

[0.097, 0.108]

[0.143, 0.161]

[0.752, 0.776]

ATWT-M2

[1.781, 1.972]

[1.952, 2.156]

[0.745, 0.761]

[0.064, 0.075]

[0.083, 0.095]

[0.84, 0.859]

ATWT-M3

[1.774, 1.963]

[2.014, 2.221]

[0.76, 0.775]

[0.067, 0.079]

[0.072, 0.083]

[0.848, 0.867]

MTF-GLP

[1.618, 1.812]

[1.715, 1.902]

[0.771, 0.795]

[0.107, 0.119]

[0.164, 0.182]

[0.725, 0.749]

MTF-GLP-HPM-PP

[1.751, 3.483]

[1.716, 1.907]

[0.772, 0.797]

[0.107, 0.119]

[0.161, 0.18]

[0.727, 0.751]

MTF-GLP-HPM

[1.925, 3.42]

[1.814, 2.005]

[0.748, 0.766]

[0.042, 0.051]

[0.062, 0.073]

[0.882, 0.898]

MTF-GLP-CBD

[1.848, 2.075]

[1.877, 2.098]

[0.777, 0.797]

[0.034, 0.039]

[0.056, 0.064]

[0.9, 0.912]

MSDCNN

[1.449, 1.721]

[1.663, 1.884]

[0.806, 0.834]

[0.039, 0.045]

[0.052, 0.058]

[0.9, 0.91]

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

MARCH 2021
IEEE Geoscience and Remote Sensing Magazine - March 2021

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - March 2021
