GPT Image 2موجّه AI
Aerial to Land Cover Map — Sora 2 Prompt
Convert a monochrome aerial photo into a sharp, color-coded urban land cover classification map with 6 distinct categories.
الموجّه · EN
以 REFERENCE_0 作为地理和城市布局的参考源，利用 REFERENCE_1 所暗示的伪彩色视觉语言，将单色历史航拍照片转换为清晰的土地覆盖分类图。保持相同的俯视视角和街道/街区结构，但将摄影纹理替换为平坦的分割区域和清晰的边界。将场景精确划分为 6 个视觉类别：1) 建筑物为红色，2) 道路和主要铺装走廊为白色，3) 水体和运河为蓝色，4) 茂密植被/公园为深绿色，5) 开阔草地或稀疏绿地为浅绿色，以及 6) 工业区或大型铺装/开阔设施区域为灰色。生成一张对比度强、阴影极少、且不含标签、图例、边框或胶片标记的密集城市专题地图。
حول هذا الموجّه
Convert a monochrome aerial photo into a sharp, color-coded urban land cover classification map with 6 distinct categories. Use it as a الفن المفاهيمي starting point for GPT Image 2: keep the visual structure and style constraints intact, then swap in your own subject, brand, or scene.
Start with small changes to subject, scene, camera, and color, then generate a few variations to compare composition and detail without turning the page copy into keyword stuffing.
كيفية استخدام هذا الموجّه
- Copy the prompt and replace
REFERENCE_0with your aerial photo andREFERENCE_1with a color palette image. - Select a Sora 2 or similar advanced text-to-video model.
- Adjust the 6 color categories in the prompt to match your analysis needs.
- Generate the output to receive a high-contrast thematic map.
- Use the resulting map for urban planning, GIS analysis, or visualization.
