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Temporal Convolutional Neural Network for the Classification of Satellite Image
Created2024-10-08
854efd16088ec0a2949395f17c9b60f9618ed3796518aea5e690afa16559fc1f2be4b1f75b7b8f483a235bc935c3b6211ac1edf307215805a115269230631189d5890acc97498c5744de413c76bf4da6804e89e5a33a6c3202c2f6a1a655fc06d18a8c464dd97bde91f237b28020de41e9954bbf91a83cbc3a26284e8f1f25eef1128c9fc9d77ca03c23add3050c9181394154c5558936ab229b022d71a76cc072fe65f938776d4397790c421dda1e052dd7d77ecb72adc3f5e3938266a461ff9173b811c315458c43917a0f4ef47771c5a4c15416468ada03665885e414c05ed60f533b57421b284f66f9a233896631f5de7ac3ca31eef1a ...
周报10月 7 日
Created2024-10-07
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记录如何生产 CACM 数据集过程
Created2024-10-07
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周报 9 月 14 日
Created2024-10-07
854efd16088ec0a2949395f17c9b60f9386aedb0ff5a819cd0390912c2b2702d769e2bd053b8f5d4bd2059e8451ee66eab178f0008fb88bc8319e0ff254465772a222aca6f7b73aebe087edcf58c848266e0de43851aa743cb2bb46407184962e133ba9a7fd776cec57601d2a3ff5d592c341075295cc9968acc517c00cb73bd4e9d4f3fcfacd0e016f4e1f654b7bea6c6ad28f713c78a80f1929a41ca272ab342eca944019cb27666ae8c53225472333eeb0ae8d858700cb63a928f3fc828102f451731dc9285b512042666e172e3cca14f92ed4b44a508aa8e7331610fed3ac328fd325d0a7593f0fe7f0b5fb00ffeef82f8f7a72b2f2dc ...
Untitled
Created2024-10-04
N 阶幻方的计算原理 1、问题概述 幻方的定义 幻方,有时又称魔术方阵(其简称“魔方”现一般指立方体的魔术方块)或纵横图,由一组排放在正方形中的整数组成,其每行、每列以及每一条主对角线的和均相等。通常幻方由从1到𝑁2的连续整数组成,其中𝑁为正方形的行或列的数目。因此𝑁阶幻方有𝑁行𝑁列,并且所填充的数为从1到𝑁2。 幻方是一个\(n\times n\)的方阵,方阵中填入从\(1\)到\(n^{2}\)的不同数字。其每行、每列以及两条对角线上的数字之和都相等,这个相等的和被称为幻和。 幻和的计算 对于\(n\)阶幻方,幻和\(S = \frac{n(n^{2}+1)}{2}\)。例如,对于三阶幻方(\(n = 3\)),幻和\(S=\frac{3\times(3^{2}+1)}{2}=\frac{3\times(9 + 1)}{2}=15\)。这是通过对\(1\)到\(n^{2}\)这\(n^{2}\)个数字求和(根据等差数列求和公式\(\sum_{i = 1}^{n^{2}}i=\frac{n^{2}(n^{2}+1)}{2}\)),再除以\(n\)(因为幻方有\(n\)行 ...
Untitled
Created2024-09-30
9月29日周报: 一、任务目标: 通过遥感图像数据对农作物进行分类,并进行农作物的制图,制图的效果可以参考如下图所示 1727626507396 二、本周主要任务: 先把CACM这篇论文的实验进行复现,目前模型代码已经跑通,但是缺少制作输入样本数据的代码,所以本周研究Google Earth Engine制作训练样本数据的代码实现. 1、代码方面: (1)、研究在样本点的随机生成 原论文通过从2019年明尼苏达州、威斯康星州、爱荷华州、堪萨斯州、印第安纳州和密苏里州分别选取六个0.5°×0.5°的网格来构建用于模型训练的数据集. 目前先尝试实现在呼和浩特市选择这样的一个网格中进行尝试 并在每个样本点上选择一个小区域作为样本点(感觉其他论文不是这样实现作图的) (2)、研究将一个区域的遥感数据保存为csv文件和tiff文件 已经可以实现了 2、论文方面: 因为希望参考PAN(基于领域适应的物候对齐网络)和DCM(DeepCropMapping)这两篇的论文的代码实现来研究Google Earth Engine制作训练样本数据的代码实现,所以看了下这两篇论文. 这两篇论 ...
Google Earth Engine
Created2024-09-29
854efd16088ec0a2949395f17c9b60f9386aedb0ff5a819cd0390912c2b2702d080e25a880402dd8e10c6fd75f2bd8c1f88e0eec6d990983afd2ffeb5c898d13d3a13a462071392ae173d4f9c9d545cad12306904bcb41124c471ebbdec6d29cef687ff44b03a53d438910cd32de1047567b4ad943969105b4d6d29d35ef8d0eaf360b8fcbe5299826e0ca7655b56bd7d64316f04e1243590ede77339650cf1c1503c2794d55db242f5687a95fa5f059a942f3c5a02255c4fc3b3da9a8de4b83b528cfee4449ea0f2440f19f832312dd56388012f143c009dda33b4864adbd13b8b712398f43bda04e37f834f529cd63d1edca12cde32e4e7 ...
Attention mechanism-based generative adversarial networks for cloud removal in Landsat images
Created2024-09-24
854efd16088ec0a2949395f17c9b60f9386aedb0ff5a819cd0390912c2b2702d83c7304bcc96186da0e84e26a6d8c2a9db5ad98e5b4f2222dc4efa7c422a6b49542aad3cf4d3ffe99c2150e569a4cc67e517c55b1a1a2019d9bb118c928d35991a59cc3719b0808f577e82576d2eec3b3fdd7697b928ded983bec62db6aef7d572b0802819274ba6788ba4c3616794c08cbdc29653f9bf3a24d1eecdb707b89d4f16fa33de514a0193e1b7a89fafabe3fb36c82897c1235e58f918571744a24303c04a62549f27058f591aa867743cc375661603b14dc663865f028f97bb1df03e353456d5a4332f457a77071420ead26f64cafa461426c99 ...
Towards interpreting multi-temporal deep learning models in crop mapping
Created2024-09-24
854efd16088ec0a2949395f17c9b60f9386aedb0ff5a819cd0390912c2b2702d878b0968724952a00f66f0af55bd2eec5ecd8dacdd18ece7906c4f8efdf56b02f5c6a68d01e62c181681454ff47cfde4119c332cab2e20c6039e1a28ab860459a5f72818714e988d5880378c23f0cec956caca064540ba2191d61fb3da72750839f56b05e589e089ad3652cdc144fb670ce876a1751164df6eedbe7c84406a1b9f02fc2cb021ef5a20547cb9c1ea7830c2c27d67fb7255c7bd03e45acf6ce9463f81d4d02a7e15911267eb2f0e7a25be67fe067eb7934ac9435035c45851006696016658f2186a8b199d22b2c9d24bcc44af92a79f7b4ce71 ...
9月21日总结
Created2024-09-21
854efd16088ec0a2949395f17c9b60f9386aedb0ff5a819cd0390912c2b2702d6b3be1767254d470723dbfaf661910c5fbe1421359cd6695af2f552d7d60126d37aacaeec311008cd413580f1d83aae08bac5b41930358389b1e17b77cd8eed2e03cebb83341b9d66c92e8f98a8a5ca520ae51f898d2001f27908d8470aeffb610d0ff28f211d02c2b1260cc2db71360de6e710dd84a39b83d9a60153eba6aaad18e01855a12bd5324870e0187a75920d296b3ef5c5072fe3eee22efcf8ed3654d8c632a6943c1b67b1b7ed9bcb7585e61d05b14043eedc5a98c6c9192c457c3243623302f5f12d6edd6d47e977731bd9b5758f0f907e2cf6 ...
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