{"id":1467,"date":"2026-06-14T03:18:34","date_gmt":"2026-06-13T19:18:34","guid":{"rendered":"https:\/\/aifed.now\/conference\/?page_id=1467"},"modified":"2026-06-14T03:18:34","modified_gmt":"2026-06-13T19:18:34","slug":"%e4%b8%bb%e9%a1%8c%e4%ba%8c%ef%bc%9a%e6%95%99%e5%ad%b8%e5%af%a6%e8%b8%90-%e9%9b%b7%e7%a5%96%e5%bc%b7-%e5%be%9e%e4%ba%ba%e5%b7%a5%e5%88%b0%e6%99%ba%e6%85%a7%ef%bc%9a%e5%bb%ba%e6%a7%8b%e9%80%a2","status":"publish","type":"page","link":"https:\/\/aifed.now\/conference\/?page_id=1467","title":{"rendered":"\u4e3b\u984c\u4e8c\uff1a\u6559\u5b78\u5be6\u8e10 \/ \u96f7\u7956\u5f37 \/ \u5f9e\u4eba\u5de5\u5230\u667a\u6167\uff1a\u5efa\u69cb\u9022\u7532\u5927\u5b78\u5468\u908a\u7da0\u80fd\u8a2d\u65bd\u4e4b GeoAI \u52d5\u614b\u76e3\u6e2c\u6a21\u578b"},"content":{"rendered":"<\/p>\n<h3>\u5f9e\u4eba\u5de5\u5230\u667a\u6167\uff1a\u5efa\u69cb\u9022\u7532\u5927\u5b78\u5468\u908a\u7da0\u80fd\u8a2d\u65bd\u4e4b GeoAI \u52d5\u614b\u76e3\u6e2c\u6a21\u578b<\/h3>\n<\/p>\n<div style=\"display: flex; align-items: center; gap: 15px;\">\n<p>  <img decoding=\"async\" width=\"200\" src=\"https:\/\/aifed.now\/conference\/wp-content\/uploads\/2026\/05\/521-bust-in-silhouette-coloring-page-md.png\" alt=\"\u96f7\u7956\u5f37\" style=\"box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\" \/><\/p>\n<p>  <strong>\u8b1b\u8005\/Speaker\uff1a<\/strong> <span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"> \u96f7\u7956\u5f37, Lei,Tsu-Chiang <\/span>  <\/p>\n<\/div>\n<p><\/p>\n<div style=\"line-height:1.2em; background-color: #ffffff; margin: 5px; border:1px #19130B solid; border-radius:10px; padding:10px; box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\">\n<p>\u50b3\u7d71\u90fd\u5e02\u8a08\u756b\u8207\u571f\u5730\u5229\u7528\u8abf\u67e5\u6975\u5ea6\u4ef0\u8cf4\u4eba\u5de5\u73fe\u5730\u8abf\u67e5\u6216\u9010\u68df\u5224\u8b80\u5f71\u50cf\uff0c\u4e0d\u50c5\u8017\u6642\u3001\u8cbb\u529b\u3001\u6210\u672c\u9ad8\uff0c\u4e14\u6613\u56e0\u4e3b\u89c0\u5224\u8b80\u7522\u751f\u8aa4\u5dee\uff0c\u96e3\u4ee5\u9032\u884c\u5927\u7bc4\u570d\u7684\u9577\u671f\u52d5\u614b\u76e3\u6e2c\u3002\u65b0\u4e16\u4ee3\u5b78\u751f\u96d6\u719f\u6089\u6578\u4f4d\u5de5\u5177\uff0c\u4f46\u7f3a\u4e4f\u6280\u8853\u539f\u7406\u8207\u7a7a\u9593\u8cc7\u8a0a\u6574\u5408\u7684\u5be6\u4f5c\u7d93\u9a57\u3002\u672c\u8ab2\u7a0b\u65e8\u5728\u300c\u5730\u7406\u8cc7\u8a0a\u7cfb\u7d71\u6982\u8ad6\uff08GIS\uff09\u300d\u4e2d\u878d\u5165\u57fa\u790eGeoAI\u6982\u5ff5\uff0c\u5c07GeoAI\u5f71\u50cf\u8fa8\u8b58\u6280\u8853\u5be6\u969b\u5c0e\u5165\u5927\u5b78\u57fa\u790e\u8ab2\u7a0b\u4e2d\u3002\u7d50\u5408\u9ad8\u89e3\u6790\u5ea6\u885b\u661f\u8207\u822a\u7167\u5f71\u50cf\uff08U-Net\uff09\uff0c\u642d\u914d\u9810\u5148\u8a13\u7df4\u597d\u7684\u7269\u4ef6\u5075\u6e2c\u6a21\u578b\uff0c\u8b93\u5b78\u751f\u5b8c\u6574\u9ad4\u9a57\u5f9e\u9078\u5340\u3001\u5f71\u50cf\u6e96\u5099\u3001\u6a23\u672c\u6a19\u8a3b\u5230\u7a7a\u9593\u7d71\u8a08\u7684GeoAI\u5b8c\u6574\u6d41\u7a0b\u3002\u900f\u904e\u7269\u4ef6\u5075\u6e2c\u6a21\u578b\u9032\u884c\u5927\u7bc4\u570d\u5224\u91cb\uff0c\u5927\u5e45\u7e2e\u77ed\u8cc7\u6599\u5224\u8b80\u6642\u9593\uff0c\u4e26\u6210\u529f\u7522\u51faGeoAI\u61c9\u7528\u5c08\u984c\u6210\u679c\u3002<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>Traditional urban planning and land use surveys heavily rely on manual field investigations or building-by-building image interpretation. This approach is not only time-consuming, labor-intensive, and costly, but also prone to errors due to subjective judgment, making large-scale, long-term dynamic monitoring difficult to achieve. Although the new generation of students is familiar with digital tools, they often lack practical experience in understanding the underlying technical principles and integrating geospatial information. This course aims to integrate foundational GeoAI concepts into the \"Introduction to Geographic Information Systems (GIS)\" curriculum , actively introducing GeoAI image recognition technology into introductory university courses. By combining high-resolution satellite and aerial imagery with object detection models\u2014such as U-Net \u2014students can fully experience the complete GeoAI workflow, from study area selection and image data preparation to sample labeling and geospatial statistics. Utilizing object detection models for large-scale interpretation drastically reduces image interpretation time and successfully leads to the production of practical GeoAI application project outcomes.<\/p>\n<p>\u00a0<\/p>\n<\/div>\n<p>\u00a0<\/p>\n<div style=\"background-color: #ffffff; margin: 5px; border:1px #19130B solid; border-radius:10px; padding:10px; box-shadow: 4px 4px 10px 0px rgba(0, 0, 0, 0.2)\">\n<ul>\n<li style=\"padding:10px 5px; line-height:1.5em;\"><strong>\u8ad6\u6587\u5168\u6587\uff1a<\/strong><span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"><a href=\"https:\/\/aifed.now\/conference\/wp-content\/uploads\/wpxform-uploads\/1779693361fb1f97ceef-16-2026-\u53f0\u7063-AI-\u6559\u80b2\u5e74\u6703\u6559\u5b78\u61c9\u7528\u6295\u7a3f\u6587\u4ef6LEI.pdf\" target=\"_blank\">\u5f9e\u4eba\u5de5\u5230\u667a\u6167\uff1a\u5efa\u69cb\u9022\u7532\u5927\u5b78\u5468\u908a\u7da0\u80fd\u8a2d\u65bd\u4e4b GeoAI \u52d5\u614b\u76e3\u6e2c\u6a21\u578b<\/a><\/span><\/li>\n<li style=\"padding:10px 5px; line-height:1.5em;\"><strong>\u5f71\u50cf\uff1a<\/strong><span style=\"font-weight:bold; line-height:1.5em; background-color:#e7f49c; padding:0px 2px; border:1px; border-radius:10px;\"> <a href=\"https:\/\/drive.google.com\/file\/d\/1CHF-Q95mrakpBag95MA5YB_yOcn1Igr_\/view?usp=drive_link\" target=\"_blank\">\u76f8\u95dc\u5f71\u7247<\/a><\/span><\/li>\n<\/ul>\n<\/div>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5f9e\u4eba\u5de5\u5230\u667a\u6167\uff1a\u5efa\u69cb\u9022\u7532\u5927\u5b78\u5468\u908a\u7da0\u80fd\u8a2d\u65bd\u4e4b GeoAI \u52d5\u614b\u76e3\u6e2c\u6a21\u578b \u8b1b\u8005\/Speaker\uff1a \u96f7\u7956\u5f37, Lei, &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1467","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1467"}],"version-history":[{"count":7,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1467\/revisions"}],"predecessor-version":[{"id":1931,"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=\/wp\/v2\/pages\/1467\/revisions\/1931"}],"wp:attachment":[{"href":"https:\/\/aifed.now\/conference\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}