diff --git a/utils/raw_to_cog.py b/utils/raw_to_cog.py
index bdc356b..33f9800 100644
--- a/utils/raw_to_cog.py
+++ b/utils/raw_to_cog.py
@@ -8,16 +8,17 @@ COG (Cloud Optimized GeoTIFF) 是一种优化设计的 GeoTIFF 文件格式, 特
 
 -------------------------------------------------------------------------------
 Authors: CVEO Team
-Last Updated: 2026-02-03
+Last Updated: 2026-04-22
 ===============================================================================
 """
 
+import logging
 import os
 import sys
-import logging
 from pathlib import Path
-from osgeo import gdal
+
 import numpy as np
+from osgeo import gdal
 
 # 添加父目录到 sys.path 以导入 utils
 BASE_DIR = Path(__file__).parent.parent
@@ -74,7 +75,6 @@ def tif_to_cog(
     output_type: int = gdal.GDT_Float32,
     no_data: float = np.nan,
     compress: str = "DEFLATE",
-    scaleParams: list = None,
 ):
     """
     将传统 GeoTIFF 转换为 COG 格式
@@ -205,9 +205,10 @@ def main(input_path, output_path, output_type=gdal.GDT_Float32):
 
 if __name__ == "__main__":
     # 输入目录: 包含分块tif影像的根目录
-    input_root = Path(r"D:\CVEOdata\RS_Data\Terrain")
+    input_root = Path(r"D:\CVEOdata\RS_Data\Terrain\test")
     # 输出目录: 存放最终COG结果的目录
     output_root = Path(r"D:\CVEOdata\RS_Data\Terrain")
     input_path = input_root / "GLO30.DSM.2014.Hubei.30m.tif"
     output_path = output_root / "GLO30.DSM.2014.Hubei.30m.tif"
-    output_type = gdal.GDT_Byte
+    output_type = gdal.GDT_Float32
+    main(input_path, output_path, output_type)