diff --git a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
index 65bb0cf387627aee576073de55332bfa47268980..5752ee8d8d77a2aa423afc7cd1262c8c5089f396 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py
@@ -530,8 +530,10 @@ class SRCNN:
         conv_hkm = conv_hkm_b = tf.keras.layers.Conv2D(num_filters, kernel_size=KERNEL_SIZE, kernel_initializer='he_uniform', activation=activation, padding='VALID')(input_hkm_2d)
         print(conv_hkm.shape)
 
-        conv_hkm = build_conv2d_block(conv_hkm, num_filters, activation, 'Conv2D_1')
-        conv_hkm = build_conv2d_block(conv_hkm, num_filters, activation, 'Conv2D_2')
+        num_filters_hkm = 32
+        conv_hkm = build_conv2d_block(conv_hkm, num_filters_hkm, activation, 'Conv2D_1')
+        num_filters_hkm *= 2
+        conv_hkm = build_conv2d_block(conv_hkm, num_filters_hkm, activation, 'Conv2D_2')
 
         conv_b = conv_b + conv_hkm
         print(conv_b.shape)