Improve visualizations: adaptive scales, revert z-score to std normalization

- MSRM/TPI/roughness/anomalies: revert z-score (x-mean)/std to std normalization x/std
  to preserve contrast and visibility of linear features (paths, ditches, trenches)
- MSRM: adaptive scales based on resolution, archaeological weight combination
- TPI: extend from 2 to 4 scales (3m/15m/50m/200m) with weighted combination
- Hillshade: 8 directions instead of 4, altitude 35° instead of 30°
- LRM: adaptive sigma based on resolution
- Openness: doubled radius (100m instead of 50m)
- Roughness: multi-scale (3m fine + 15m broad) instead of single 5x5 window
- Anomalies: uses MSRM multi-scale relief instead of single LRM 15m
- Wavelet: 8 adaptive scales, std normalization, archaeological weights
- Remove svf (Sky-View Factor) and local_dominance visualizations
- Add AVIF format support (default), quality 98
- Add multi-resolution support (-r 0.5,0.2)
- Improve Ctrl+C handling for immediate process termination
- Update rendering.py descriptions for all modified visualizations

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

lidar_pipeline/cli.py

@@ -131,13 +131,19 @@ Exemples:
     parser.add_argument(
         "--quality",
         type=int,
-        default=85,
-        help="Qualité WebP (1-100, défaut: 85). Utilisez 100 pour lossless."
+        default=98,
+        help="Qualité image (1-100, défaut: 98). Utilisez 100 pour lossless."
     )
     parser.add_argument(
         "--lossless",
         action="store_true",
-        help="Forcer la compression WebP lossless (équivalent à --quality 100)"
+        help="Forcer la compression lossless (équivalent à --quality 100)"
+    )
+    parser.add_argument(
+        "--format",
+        choices=["webp", "avif"],
+        default="avif",
+        help="Format de sortie : avif (défaut, meilleure qualité) ou webp"
     )
     parser.add_argument(
         "--only",
@@ -194,6 +200,13 @@ Exemples:
 
     try:
         quality = 100 if args.lossless else args.quality
+        # Parse --only and --skip: accept comma-separated values
+        only_viz = None
+        if args.only:
+            only_viz = [v.strip() for item in args.only for v in item.split(',')]
+        skip_viz = None
+        if args.skip:
+            skip_viz = [v.strip() for item in args.skip for v in item.split(',')]
         pipeline = LidarArchaeoPipeline(
             input_dir=args.input,
             output_dir=args.output,
@@ -204,8 +217,9 @@ Exemples:
             force_classify=args.force_classification,
             keep_tif=args.keep_tif,
             quality=quality,
-            only_viz=args.only,
-            skip_viz=args.skip,
+            only_viz=only_viz,
+            skip_viz=skip_viz,
+            output_format=args.format,
         )
 
         # If --file is specified, process only matching files
@@ -270,9 +284,15 @@ def _kill_orphan_pdal(signum=None, frame=None):
     """Kill orphan PDAL processes on interrupt or exit."""
     import subprocess
     try:
-        subprocess.run(["pkill", "-f", "pdal"], capture_output=True, timeout=5)
+        subprocess.run(["pkill", "-9", "-f", "pdal"], capture_output=True, timeout=3)
     except Exception:
         pass
     if signum is not None:
-        logger.info("Interruption — nettoyage des processus PDAL")
+        logger.info("Interruption — nettoyage des processus")
+        # Force-kill all child processes immediately
+        try:
+            import os
+            os.killpg(os.getpgrp(), signal.SIGKILL)
+        except Exception:
+            pass
         sys.exit(130)