1. Introduction
2. Hierarchical propelled fusion strategy
1) Classification confidence
2) Weights of P l
Fusion in P
l
in | Level 2 | Level 3 | Level 4 | Level j | Level L |
---|---|---|---|---|---|
Level 1 |
w 12
|
w 13
|
w 14
|
w 1j
|
w 1L
|
Level 2 |
w22
|
w23
|
w24
|
w2j
|
w 2L
|
Level 3 | × |
w 33
|
w 34
|
w 3j
|
w 3L
|
Level 4 | × | × |
w 44
|
w 4j
|
w 4L
|
Levell | × | × | × |
wlj
|
w 1L
|
Level L | × | × | × | × |
w LL
|
3) Basic flow
3. Application of the proposed three-tier HPSMCF to SAR ATR
1) Feature extracting
A. PCA
B. LDA
C. NMF
D. Feature ordering
2) Classifier
3) Fusion theory
4. Experiment analysis
Target number | Target type | Depression angle | ||
---|---|---|---|---|
17° | 15° | |||
1 | BMP2 | sn-c9563 | 233 | 195 |
sn-c9566 | 232 | 196 | ||
sn-c21 | 233 | 196 | ||
2 | BTR70 | 233 | 196 | |
3 | T72 | sn-132 | 232 | 196 |
sn-812 | 231 | 195 | ||
sn-s7 | 228 | 191 | ||
4 | 2S1 | 299 | 274 | |
5 | D7 | 299 | 274 | |
6 | ZIL131 | 299 | 274 | |
7 | ZSU23-4 | 299 | 274 |
(1) 3-Class recognition and confuser recognition
1) 3-Class recognition
Testing data | BMP2 | BTR70 | T72 | Can’t recognition | Recognition rate |
---|---|---|---|---|---|
BMP2 sn-9563 |
181
| 4 | 7 | 3 | 85.5% |
BMP2 sn-9566 |
153
| 15 | 24 | 4 | |
BMP2 sn-c21 |
168
| 14 | 8 | 6 | |
BTR70 sn-c71 | 1 |
192
| 3 | 0 | 98% |
T72 sn-132 | 8 | 1 |
187
| 0 | 91.2% |
T72 sn-812 | 15 | 3 |
176
| 1 | |
T72 sn-s7 | 15 | 6 |
168
| 2 |
2) Confuser recognition
Methods | 2S1 | D7 | ZIL131 | ZSU23-4 | Average |
---|---|---|---|---|---|
PSMCF | 46.6% | 57.6% | 53.8% | 51.4% | 52.4% |
HPSMCF | 61.9% | 75.6% | 71% | 72.4% | 70.2% |
(2) Depression angle and configuration variance
Set serial | Type | Depression angle | Size | |
---|---|---|---|---|
training set
| set 1 | BMP2-c21 | 17° | 233 |
BTR70-c71 | 17° | 233 | ||
T72-132 | 17° | 232 | ||
testing set
| set 2 | BMP2-c21 | 15° | 196 |
BTR70-c71 | 15° | 196 | ||
T72-132 | 15° | 196 | ||
set 3 | BMP2-9563 | 17° | 233 | |
BMP2-9566 | 17° | 232 | ||
T72-812 | 17° | 232 | ||
set 4 | BMP2-9563 | 15° | 195 | |
BMP2-9566 | 15° | 196 | ||
T72-812 | 15° | 195 |
Methods | Set 2 | Set 3 | Set 4 | Average |
---|---|---|---|---|
PCA+SVM
| 94.22% | 79.02% | 73.72% | 82.14% |
LDA+SVM
| 92.52% | 80.03% | 77.47% | 83.16% |
NMF+SVM
| 97.79% | 88.07% | 82.76% | 89.47% |
PSMCF
| 98.30% | 86.49% | 84.47% | 89.57% |
HPSMCF
| 99.32% | 90.52% | 87.54% |
92.35%
|
Hierarchy depth | Set 2 (588) | Set 3 (696) | Set 4 (586) |
---|---|---|---|
Level 1
| 522 | 357 | 288 |
Level 2
| 21 | 90 | 91 |
Level 3
| 44 | 244 | 201 |
Cannot recognition
| 1 | 5 | 6 |
Methods | Average RR | Time |
---|---|---|
PSMCF
| 89.57% | 5.02 s |
HPSMCF
| 92.35% | 3.9 s |