fix: 光谱提取 NaN/Inf 防护 + 边界掩膜支持

- 逐波段读取路径：防止 GDAL ReadAsArray 返回 NaN/Inf 污染光谱
- 批量读取路径：astype(float64) 后统一过滤非法值
- 两路径均支持 boundary_mask：水体之外光谱置零

src/core/glint_removal/get_spectral.py

@@ -779,7 +779,14 @@ def get_spectral_in_coor(imgpath, coorpath, outpath, radius=0, flare_path=None,
                     # GDAL读取的数组形状是 (bands, height, width)，像素坐标 (x,y) 对应数组索引 [:, y, x]
                     # 注意：py是行（y坐标），px是列（x坐标）
                     if 0 <= px < all_bands_data.shape[2] and 0 <= py < all_bands_data.shape[1]:
-                        spectrum = all_bands_data[:, py, px]  # 直接索引，非常快
+                        spectrum = all_bands_data[:, py, px].astype(np.float64)
+                        # ★ 防 NaN/Inf：替换非法值为 0（与 radius>0 路径行为一致）
+                        spectrum[~np.isfinite(spectrum)] = 0.0
+                        # ★ 应用边界掩膜：若像素在水体之外，光谱置零
+                        if boundary_mask is not None:
+                            if 0 <= py < boundary_mask.shape[0] and 0 <= px < boundary_mask.shape[1]:
+                                if boundary_mask[py, px] != 1:
+                                    spectrum[:] = 0.0
                         coor_spectral[i, original_cols + 2:] = spectrum
                     else:
                         coor_spectral[i, original_cols + 2:] = np.zeros(num_bands)
@@ -799,7 +806,14 @@ def get_spectral_in_coor(imgpath, coorpath, outpath, radius=0, flare_path=None,
                     spectrum = np.zeros(num_bands)
                     for band_idx in range(num_bands):
                         band = dataset.GetRasterBand(band_idx + 1)
-                        spectrum[band_idx] = band.ReadAsArray(px, py, 1, 1)[0, 0]
+                        val = band.ReadAsArray(px, py, 1, 1)[0, 0]
+                        # ★ 防 NaN/Inf：替换非法值为 0
+                        spectrum[band_idx] = val if np.isfinite(val) else 0.0
+                    # ★ 应用边界掩膜
+                    if boundary_mask is not None:
+                        if 0 <= py < boundary_mask.shape[0] and 0 <= px < boundary_mask.shape[1]:
+                            if boundary_mask[py, px] != 1:
+                                spectrum[:] = 0.0
                     coor_spectral[i, original_cols + 2:] = spectrum
                 else:
                     coor_spectral[i, original_cols + 2:] = np.zeros(num_bands)