diff --git a/lidar_pipeline/visualizations.py b/lidar_pipeline/visualizations.py
index d6416ce..857899d 100644
--- a/lidar_pipeline/visualizations.py
+++ b/lidar_pipeline/visualizations.py
@@ -665,12 +665,16 @@ def generate_mslrm(dem_file, basename, vis_dir, resolution, shared=None):
 
         # Adaptive scales: finer at higher resolution
         min_scale = max(2.0, resolution * 4)
-        candidate_scales = [2, 5, 10, 20, 50, 100, 200]
+        # Archaeological scales: focus on 2-50m range.
+        # Small features (ditches, walls, post-holes) need 2-10m.
+        # Medium features (enclosures, roundhouses) need 10-25m.
+        # Large scales (50m+) are kept only for context with low weight.
+        candidate_scales = [2, 3, 5, 8, 10, 15, 25, 50]
         sigmas = [s for s in candidate_scales if s >= min_scale]
 
-        # Archaeological weights: favor 5-25m range (ditches, enclosures, tumulus)
+        # Weights: favor small-to-medium scales where archaeo features live
         scale_weights = {
-            2: 0.8, 5: 2.0, 10: 1.8, 20: 1.5, 50: 1.0, 100: 0.6, 200: 0.4,
+            2: 1.5, 3: 1.8, 5: 2.0, 8: 1.8, 10: 1.5, 15: 1.3, 25: 1.0, 50: 0.5,
         }
         weights = np.array([scale_weights.get(s, 1.0) for s in sigmas])
 
@@ -685,10 +689,12 @@ def generate_mslrm(dem_file, basename, vis_dir, resolution, shared=None):
                 local_mean = _filter_nanaware(dem_np, xp_gaussian_filter, sigma=sigma_px)
             lrm = dem_np - local_mean
             lrm[nan_mask] = np.nan
-            # Std normalization: x / std — preserves sign and contrast better than z-score
+            # Std normalization
             valid_lrm = lrm[~nan_mask]
             lrm_std = max(np.nanstd(valid_lrm), 0.01) if len(valid_lrm) > 0 else 0.01
             lrm = lrm / lrm_std
+            # Clip |z| to 3.0 to prevent large-scale outliers from drowning small features
+            lrm = np.clip(lrm, -3.0, 3.0)
             lrm_stack.append(lrm.astype(np.float32))
 
         # Weighted combination — preserve sign for RdBu_r colormap