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<\/a><\/p>\n

\u7f16\u8f91 | ScienceAI<\/p>\n

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<\/a><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2501.06019<\/em><\/p>\n

\u6570\u636e\u96c6\uff1ahttps:\/\/github.com\/chenhongruixuan\/BRIGHT<\/em><\/p>\n

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BRIGHT \u6570\u636e\u96c6\u6c47\u96c6\u4e86\u707e\u524d\u7684\u5149\u5b66\u5f71\u50cf\u4e0e\u707e\u540e\u7684 SAR\uff08\u5408\u6210\u5b54\u5f84\u96f7\u8fbe\uff09\u5f71\u50cf\uff0c\u6db5\u76d6 12 \u4e2a\u5168\u7403\u4e0d\u540c\u5730\u533a\u7684\u707e\u5bb3\u4e8b\u4ef6\uff0c\u7a7a\u95f4\u5206\u8fa8\u7387\u9ad8\u8fbe 0.3 \u7c73\u81f3 1 \u7c73\uff0c\u80fd\u591f\u7cbe\u786e\u523b\u753b\u5355\u4f53\u5efa\u7b51\u7684\u635f\u6bc1\u60c5\u51b5\u3002<\/p>\n

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\u591a\u707e\u79cd\u8986\u76d6\uff1a<\/strong>\u6db5\u76d6 5 \u7c7b\u81ea\u7136\u707e\u5bb3\uff08\u5730\u9707\u3001\u98d3\u98ce\u3001\u706b\u707e\u3001\u6d2a\u6c34\u3001\u706b\u5c71\u55b7\u53d1\uff09\u548c 2 \u7c7b\u4eba\u4e3a\u707e\u5bb3\uff08\u7206\u70b8\u3001\u6b66\u88c5\u51b2\u7a81\uff09\uff0c\u4e8b\u4ef6\u5206\u5e03\u5e7f\u6cdb\uff0c\u6a2a\u8de8\u5168\u7403 12 \u4e2a\u4e0d\u540c\u5730\u533a\uff0c\u5c24\u5176\u5173\u6ce8\u707e\u540e\u56fd\u9645\u63f4\u52a9\u9700\u6c42\u8f83\u9ad8\u7684\u53d1\u5c55\u4e2d\u56fd\u5bb6\u5730\u533a\u3002<\/p>\n

\u8d85\u9ad8\u5206\u8fa8\u7387\u5f71\u50cf\uff1a<\/strong>BRIGHT \u96c6\u6210\u4e86\u707e\u524d\u5149\u5b66\u5f71\u50cf\u4e0e\u707e\u540e SAR\uff08\u5408\u6210\u5b54\u5f84\u96f7\u8fbe\uff09\u5f71\u50cf\uff0c\u7a7a\u95f4\u5206\u8fa8\u7387\u8303\u56f4\u4e3a 0.3 \u7c73\u81f3 1 \u7c73\uff0c\u53ef\u7cbe\u786e\u523b\u753b\u5355\u4f53\u5efa\u7b51\u7684\u635f\u6bc1\u7a0b\u5ea6\uff0c\u6ee1\u8db3\u707e\u540e\u7cbe\u7ec6\u5316\u8bc4\u4f30\u9700\u6c42\u3002<\/p>\n

\u591a\u7ea7\u522b\u635f\u6bc1\u6807\u6ce8\uff1a<\/strong>\u6240\u6709\u5efa\u7b51\u5747\u7ecf\u8fc7\u4eba\u5de5\u7cbe\u7ec6\u6807\u6ce8\uff0c\u5e76\u533a\u5206\u4e3a\u5b8c\u6574\u3001\u53d7\u635f\u548c\u5b8c\u5168\u635f\u6bc1\u4e09\u79cd\u7ea7\u522b\uff0c\u4e3a\u6784\u5efa\u9ad8\u7cbe\u5ea6\u6df1\u5ea6\u5b66\u4e60<\/mark>\u6a21\u578b\u63d0\u4f9b\u4e86\u7406\u60f3\u7684\u8bad\u7ec3\u4e0e\u9a8c\u8bc1\u6570\u636e\u3002<\/p>\n

\u5f00\u6e90\u5171\u4eab\u4e0e\u6301\u7eed\u66f4\u65b0\uff1a<\/strong>\u7814\u7a76\u4eba\u5458\u5df2\u5728 GitHub \u4e0a\u5f00\u6e90\u4e86 BRIGHT \u6570\u636e\u96c6\u53ca\u76f8\u5173\u4ee3\u7801\uff0c\u5e76\u8ba1\u5212\u968f\u7740\u65b0\u707e\u5bb3\u6570\u636e\u7684\u83b7\u53d6\u6301\u7eed\u66f4\u65b0\uff0c\u8fdb\u4e00\u6b65\u4e30\u5bcc\u6570\u636e\u96c6\u7684\u591a\u6837\u6027\u4e0e\u8986\u76d6\u8303\u56f4\u3002<\/p>\n

<\/a><\/p>\n

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IEEE GRSS \u6570\u636e\u878d\u5408<\/mark>\u5927\u8d5b 2025<\/strong><\/p>\n

<\/a><\/p>\n

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\u76f8\u5173\u94fe\u63a5\uff1ahttps:\/\/www.grss-ieee.org\/technical-committees\/image-analysis-and-data-fusion\/?tab=data-fusion-contest<\/em><\/p>\n

2025 \u5e74\u7684 IEEE GRSS \u6570\u636e\u878d\u5408<\/mark>\u5927\u8d5b\u7531\u4e1c\u4eac\u5927\u5b66\u3001RIKEN\u3001ETH Zurich \u548c IEEE GRSS \u56fe\u50cf\u5206\u6790\u4e0e\u6570\u636e\u878d\u5408<\/mark>\u6280\u672f\u59d4\u5458\u4f1a\u8054\u5408\u4e3b\u529e\u3002\u672c\u6b21\u5927\u8d5b\u65e8\u5728\u63a8\u52a8\u591a\u6a21\u6001\u9065\u611f<\/mark>\u6570\u636e\u5728\u5730\u8868\u76d1\u6d4b\u4e0e\u707e\u5bb3\u54cd\u5e94\u4e2d\u7684\u5e94\u7528\u4e0e\u521b\u65b0\uff0c\u805a\u7126\u4e24\u5927\u6838\u5fc3\u4efb\u52a1\uff1a<\/p>\n

\u8d5b\u9053\u4e00 \u5168\u5929\u5019\u571f\u5730\u8986\u76d6\u5236\u56fe\uff1a\u4f7f\u7528\u4e9a\u7c73\u7ea7\u5206\u8fa8\u7387\u7684\u5149\u5b66\u548c SAR \u6570\u636e\u8fdb\u884c 8 \u7c7b\u5730\u8868\u8986\u76d6\u7c7b\u578b\uff08\u5982\u6797\u5730\u3001\u9053\u8def\u3001\u5efa\u7b51\u7b49\uff09\u7684\u81ea\u52a8\u5316\u8bc6\u522b\u3002\u5728\u8bc4\u4f30\u9636\u6bb5\uff0c\u6a21\u578b\u4ec5\u4f9d\u8d56 SAR \u6570\u636e\uff0c\u4ee5\u9a8c\u8bc1\u5176\u5728\u771f\u5b9e\u6a21\u6001\u7f3a\u5931\u6761\u4ef6\u4e0b\u7684\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n

\u76f8\u5173\u94fe\u63a5\uff1ahttps:\/\/github.com\/cliffbb\/DFC2025-OEM-SAR-Baseline<\/em><\/p>\n

\u8d5b\u9053\u4e8c \u5168\u5929\u5019\u5efa\u7b51\u635f\u6bc1\u8bc4\u4f30\uff1a\u4ee5 BRIGHT \u6570\u636e\u96c6\u4e3a\u57fa\u7840\uff0c\u53c2\u8d5b\u8005\u9700\u57fa\u4e8e\u707e\u524d\u5149\u5b66\u5f71\u50cf\u4e0e\u707e\u540e SAR \u5f71\u50cf\uff0c\u8bc4\u4f30\u5efa\u7b51\u5728\u707e\u5bb3\u4e2d\u7684\u635f\u6bc1\u7a0b\u5ea6\uff08\u80cc\u666f\u3001\u5b8c\u597d\u3001\u53d7\u635f\u3001\u5b8c\u5168\u635f\u6bc1\uff09\uff0c\u52a9\u529b\u707e\u540e\u5e94\u6025\u54cd\u5e94\u4e0e\u6062\u590d\u89c4\u5212<\/mark>\u3002<\/p>\n

\u76f8\u5173\u94fe\u63a5\uff1ahttps:\/\/github.com\/ChenHongruixuan\/BRIGHT<\/em><\/p>\n

\u56db\u652f\u83b7\u80dc\u56e2\u961f\u5c06\u5728\u9065\u611f<\/mark>\u6700\u5927\u7684\u4f1a\u8bae\u4e4b\u4e00 IGARSS 2025 \u4e0a\u5c55\u793a\u6210\u679c\uff0c\u83b7\u5f97 IEEE \u9881\u53d1\u7684\u8363\u8a89\u8bc1\u4e66\u4ee5\u53ca 5000 \u7f8e\u5143\u7684\u4e30\u539a\u5956\u91d1\u3002<\/p>\n

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