microproduct-s-sar/Ortho/orthProcess.ipynb

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2024-05-17 06:19:22 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 32,
"id": "ce677517-20b0-4c35-ac26-4dc53273c790",
"metadata": {},
"outputs": [],
"source": [
"import cv2\n",
"import os\n",
"import numpy as np\n",
"from matplotlib import pyplot as plt\n",
"plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签\n",
"plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "92c174ba-9c1d-4297-ac62-1f39cf1b92da",
"metadata": {},
"outputs": [],
"source": [
"sim_path =r\"D:\\MicroSAR\\C-SAR\\Ortho\\Ortho\\Temporary\\dem_rcs.jpg\"\n",
"sim2_path =r\"D:\\MicroSAR\\Temporary\\dem_rcs.jpg\"\n",
"ori_path=r\"D:\\MicroSAR\\C-SAR\\Ortho\\Ortho\\Temporary\\sar_rcs.jpg\""
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "b84a1ad4-e56b-45cd-9ac6-ddc26ce8eaad",
"metadata": {},
"outputs": [],
"source": [
"ori_img = cv2.imread(ori_path)[:,:,0]\n",
"sim_img = cv2.imread(sim_path)[:,:,0]\n",
"sim2_img = cv2.imread(sim2_path)[:,:,0]"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "809a17e7-196b-44aa-9022-c62f0ff93b36",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(19821, 14285)"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim2_img.shape"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "5a23f79b-4472-4362-9dcd-224f07fb2432",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 657.34x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.matshow(sim_img,cmap=\"jet\")\n",
"plt.colorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a4025626-1e91-4576-b707-9eb21c10825d",
"metadata": {},
"outputs": [],
"source": [
"img1=sim_img*1.0"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "65a1f3da-5ae3-48d7-afa4-8fc9882a4909",
"metadata": {},
"outputs": [],
"source": [
"for i in range(0,5887,300):\n",
" if i+2*300>5887:\n",
" continue\n",
" for j in range(0,8062,300):\n",
" if j+2*300>8062:\n",
" continue \n",
" temp=img1[i:i+600,j:j+600]\n",
" img1[i:i+600,j:j+600]=np.std(temp)/(np.nanmax(temp)-np.nanmin(temp))"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "0639d283-7491-472f-80d5-85d5e8de301d",
"metadata": {},
"outputs": [],
"source": [
"img2=sim2_img*1.0\n",
"for i in range(0,19821,300):\n",
" if i+2*300>19821:\n",
" continue\n",
" for j in range(0,14285,300):\n",
" if j+2*300>14285:\n",
" continue \n",
" temp=img2[i:i+600,j:j+600]\n",
" img2[i:i+600,j:j+600]=np.std(temp)/(np.nanmax(temp)-np.nanmin(temp))"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "11be6d02-863c-4c5c-b23b-d72d04ef88be",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 480x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.matshow(img2[15000:19000,:4000],cmap=\"jet\")\n",
"plt.colorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "2df5bd3e-2777-43fc-a00c-1cb343f04f5a",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAHMCAYAAADWLRO/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA060lEQVR4nO3df3xU9Z3v8dcwkx/EJJNEU1lD0ITYqmiMxSkxq1G7aUvbsMCjtkVoKfayUt1ydenmXr3Q2/SuN2S7Lmtv6eJNL92U/mDX/hC3srT+QGPdh2kZCrHTiS4CeRBQVqBxJogMTnLuH5NMiUBIcs4w8815Px+P7yOd8518zifp+MmX7/me7/FYlmUhIiKT3pR0JyAiIheGCr6IiEuo4IuIuIQKvoiIS6jgi4i4hAq+iIhLqOCLiLiECr6IiEuo4IuIuIQKvoiIS6jgi4ikwRNPPEFlZSU+n485c+bQ3d0NwMqVK/F4PMlWVVWV/J5QKEQgEKC4uJimpibGuzOOCr6IuM7JkyeJRqOOt5MnT47p/Hv37uWuu+6itbWVQ4cOcfnll7N8+XIAdu7cydatW+nr66Ovr49du3YBEIvFmDdvHrNnzyYYDBIOh2lvbx/Xz+3R5mki4iYnT56kdOpUjqcg9rRp09i/fz+5ubmjvu/JJ5/k4MGDfOlLXwLgueeeY+7cubz99tuUlJTw+uuvk5+fP+J7tmzZwhe/+EUOHjxIXl4eXV1d/OVf/iUvvvjimPPzjf9HEhEx16lTpzgO/BWQ42DcGPAPhw9z9OhRCgsLk8dzcnLIyRl5psbGxhGvX331Vaqqqnj55ZexLIuamhoOHTrErbfeSltbGzNmzKCrq4va2lry8vIAqK6uJhwOjytHTemIiCtdBOQ72C4ailteXo7f70+2tWvXjprHqVOnePjhh7n33nvp7u5m1qxZbN68mXA4TFZWFitWrAAgGo1SUVGR/D6Px4PX66Wvr2/MP7NG+CLiSllDzSkDQ197e3vPGOGPZs2aNeTn53P33XeTlZXFkiVLkn3r16+nsrKSaDSKz+c7I1Zubi4nTpyguLh4TDmq4IuIOKiwsHBEwR/N008/zaOPPkpnZydZWWf++SkqKmJwcJA33niDkpISQqHQiP7+/n6ys7PHnJumdETElXwpaOOxb98+lixZwoYNG7jmmmsAWLVqFY899ljyPTt27GDKlCmUl5cTCATo7OxM9vX09BCLxSgpKRnXzywiIhfQO++8Q2NjIwsWLGD+/PkcP55YM3T99dezevVqpk2bRjweZ+XKlSxbtoy8vDzq6+uJRCJs2rSJpUuX0traSkNDA16vd8znVcEXEVfy4ewcfnwc7/3lL39Jd3c33d3dfOc730ke379/P6+88grz58+noKCAhQsX0tLSksjX56OtrY3FixfT1NTEwMAAHR0d48pR6/BFxFWi0Sh+v5+/B6Y6GPcd4CtAJBIZ8xz+RBw6dIhgMEhdXR2lpaXj+l6N8EVEDFJWVkZZWdmEvlcFX0RcyellmeOZ0kkXrdIREXEJjfBFxJUmspTyfPEynQk5iog4zulVOu86GCtVNKUjIuISGuGLiCu5cUpHI3wREZcw4Y+SiIjjnF6W6WSsVFHBFxFXcmPB15SOiIhLaIQvIq6ki7YiIjJpTcqCHwqFCAQCFBcX09TUhNMbgj7xxBNUVlbi8/mYM2cO3d3d5z3vRPvGau7cubS3t6c9jwceeIB58+bZPp+dXL7//e8zY8YM8vPzaWhooKen54LmcuzYMSoqKpLnTdW5x5LX2XI51+c3lbmcLY/Tnf75TfXvZNjwjVdONY3w0yAWizFv3jxmz55NMBgkHA6P+CDZtXfvXu666y5aW1s5dOgQl19+OcuXLx/1vBPtG6sf/vCH/PKXv7R1LifyCIVC/OM//iOPPPJI2nLZu3cvq1evZsuWLYTDYS6//HKWLVt2wXI5evQojY2NIwpbKs49lrzOlsu5Pr+pzOVseZzu9M9vqn8np0v3E6/SwppkHn/8cau4uNh6++23LcuyrN27d1t/+qd/6lj8n//859aGDRuSr7dv325lZ2ePet6J9o3FsWPHrEsvvdT6wAc+YP3TP/1T2vIYHBy06urqrK9+9avJY+nI5cc//rH16U9/Ovn6V7/6lfUnf/InFyyXP/uzP7MeeeQRC7D279+fst/DWPI6Wy7n+vymMpez5THsvZ/fVP9OLMuyIpGIBVhPgvWcg+1JsAArEomccc5MYcQfpfHo6uqitraWvLw8AKqrqwmHw47Fb2xsHPH61VdfpaqqatTzTrRvLL7yla+wcOFC3nnnHVvnspvHd77zHXbv3s3y5ct58skn+djHPpaWXK655hq2b9/Orl27qKys5Nvf/jYf+chHLlgubW1tVFZWcv/99yePpeLcY8nrbLmc6/ObylzOlsew935+U/07OZ2WZU4C0WiUioqK5GuPx4PX66Wvr8/xc506dYqHH36Ye++9d9TzTrTvfJ577jmeffZZ/vZv/zZ5LB15HD9+nDVr1nDllVdy8OBB1q1bR319fVpyueaaa7jjjjv44Ac/SFFREb/+9a95+OGHL1gulZWVZxxLxbnHktfZcjnd6Z/fVOU5Wh5n+/ymMg+ZhAXf5/ORk5Mz4lhubi4nTpxw/Fxr1qwhPz+fu+++e9TzTrRvNCdPnmTFihVs2LBhxOPULnQeAD/72c94++232b59O1/96ld56qmneOutt/jud797wXPp7Ozk5z//Ob/+9a/p7+/nzjvv5BOf+ERafi/DUnFuJ/I6/fObqjzP5Vyf3wuZhxvn8CddwS8pKeHIkSMjjvX395Odne3oeZ5++mkeffRRfvSjH5GVlTXqeSfaN5q/+Zu/IRAI8MlPfnLE8QudB8DBgweZM2cOJSUlQOI/2Orqak6ePHnBc/mXf/kXFi1axIc+9CHy8/N56KGH2LdvX1p+L8NScW67eb3385uqPM/lXJ/fC5mHG1fpTLqLts8++6xVVVWVfL1//34rNzfXisfjjp1j7969VmlpqfWDH/xgTOedaN9orrjiCuuiiy6y/H6/5ff7raysLGvq1KnW1VdffUHzsCzL2rRpk1VbWzvi2Jw5c6xvf/vbFzyXL3/5y9aSJUuSryORiJWTk2M9/PDDFzQXTrtAmYrPxnjy4j0XS8/2+U1VnufK41yf33vuuSfleQxftO0Aa6eDrcOAi7aTruC/++67VmlpqfW9733PsizLWrFihdXY2OhY/BMnTlhXX3219Rd/8RdWf39/sp06deqc5x0tp4nm29vba+3fvz/ZPvWpT1l/93d/Zx05cuSC5mFZiZUWfr/f2rBhg9Xb22t985vftHJycqw9e/Zc8Fw2b95sTZ061Vq3bp31wx/+0Lr99tutGTNmXPD/f04vbhON71Rep+dyrs/v4OBgynM5PY/RPr+pzmO44P87WF0Otn9XwU+Pxx9/3Jo6dar1vve9z7r44outUCjkaGyG/o89ve3fv3/U8060b6y+8IUvjFjWdqHzeOmll6y6ujpr6tSpVkVFhfX444+nJZfBwUGrubnZmjFjhpWVlWXdcMMNVjAYvOC5vHdUnYpzjzWv03MZ7fOb6lze+zs53emf31TnoYI/CR08eNDasmWL9eabb2bMeSfaZ3IeyiW1555sv6MLkcdwwf8NWGEH228MKPgey3J43wERkQwWjUbx+/38Fsh3MO5x4INAJBI5Y+VRpph0q3REROTsjFhJJCLitOFlmU7Gy3Qa4YuIuIQJf5RERBynvXQmkVgsRnNzM7FYTHkoFyNyyZQ8lMvkldGrdEKhEHfddRevvfYay5cv5xvf+AYej2dM3zt8JT7dV8wzJQ/lkvm5ZEoekz2X4Xh7gAL76SX1A1eiVToTkuoHmYiIu/m8kOVzrvm86f6Jzi9jC/62bduIRCKsW7eOmTNn0tLSwsaNG9OdloiIsTL2ou14H2YQi8VGzPG99dZbQOKfV+kUjUZHfE0n5XJ2mZJLpuRxeg6ZmotlWfT393PZZZcxZcrExq0+H/jGNkM8tngWMOBcvFTI2II/2sMMiouLz3j/2rVr+fr
"text/plain": [
"<Figure size 400x555.016 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.matshow(img2,cmap=\"jet\")\n",
"plt.colorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "afe62adb-2875-40e5-9f67-89b5221126b6",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 657.34x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.matshow(img1,cmap=\"jet\")\n",
"plt.colorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "8d694781-d527-4c1d-a811-de2df88f11bc",
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"angle_arr=np.zeros((900,2))\n",
"for i in range(900):\n",
" angle=i*(math.pi/2)/900.0\n",
" angle_arr[i,0]=angle*180/math.pi\n",
" angle_arr[i,1]=(0.0133 * math.cos(angle)) / ((math.sin(angle) + 0.1 * math.cos(angle))**3)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "edcc3785-f880-4ef6-bea3-ce735f4591d2",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(angle_arr[:,0],angle_arr[:,1])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "616b92c4-7d19-462f-8ce6-b671e0a94037",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}