包括Salinas和Salinas-A This scene was collected by the 224-band AVIRIS sensor over Salinas Valley, California, and is characterized by high spatial resolution (3.7-meter pixels). The area covered comprises 512 lines by 217 samples. As with Indian Pines scene, we discarded the 20 water absorption bands, in this case bands: [108-112], [154-167], 224. This image was available only as at-sensor radiance data. It includes vegetables, bare soils, and vineyard fields. Salinas groundtruth contains 16 classes.
2021-08-01 17:39:30 54.65MB 高光谱 遥感 数据库 Salinas
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模型:CNN,SAE,KNN,SVM代码 数据集:Indian_pines,Pavia
2021-07-21 18:06:07 168.93MB 图像识别 深度学习
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高光谱所需的常用数据:paviaU.mat 高光谱遥感常用数据集。高光谱所需的常用数据:paviaU.mat 高光谱遥感常用数据集
2021-07-20 11:05:08 33.19MB 遥感 高光谱 遥感高光谱 高光谱资源
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常见的高光谱数据集-Botswana、HoustonU、Idian_pines、KSC、Pavia、Salinas、Xiong'an、Xuzhou,包含光谱数据以及标注信息,伪色彩图和标注图像,格式均为.mat格式。由于文件超过上传限制,所以使用是百度云盘。
2021-07-12 11:08:59 124B 高光谱 遥感图像 数据集 深度学习
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详细介绍了高光谱遥感的基础和分析方法,是学习和考试的好资料 详细介绍了高光谱遥感的基础和分析方法,是学习和考试的好资料
2021-07-02 11:02:11 6.83MB 高光谱 遥感
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高光谱遥感图像MATLAB工具箱 程序齐全 非常好用!!!
2021-06-26 09:10:36 15.38MB 高光谱 遥感图像 MATLAB 程序代码
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The NASA EO-1 satellite acquired a sequence of data over the Okavango Delta, Botswana in 2001-2004. The Hyperion sensor on EO-1 acquires data at 30 m pixel resolution over a 7.7 km strip in 242 bands covering the 400-2500 nm portion of the spectrum in 10 nm windows. Preprocessing of the data was performed by the UT Center for Space Research to mitigate the effects of bad detectors, inter-detector miscalibration, and intermittent anomalies. Uncalibrated and noisy bands that cover water absorption features were removed, and the remaining 145 bands were included as candidate features: [10-55, 82-97, 102-119, 134-164, 187-220]. The data analyzed in this study, acquired May 31, 2001, consist of observations from 14 identified classes representing the land cover types in seasonal swamps, occasional swamps, and drier woodlands located in the distal portion of the Delta.
2021-06-03 11:34:42 75.26MB 高光谱 遥感 数据集 Botswana
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文章对高光谱遥感技术的发展概况进行了回顾,详细介绍了典型的高光谱遥感仪器的发展历程及其主要参数,对比了不同时期各个国家高光谱遥感载荷的性能特点,分析了中国高光谱遥感技术发展现状,并归纳了国际上未来高光谱遥感技术发展计划。文章结合当前信息时代的发展特点,对高光谱遥感技术未来发展进行了展望,指出了高光谱遥感技术探测波段进一步拓宽,时间、空间及光谱分辨率进一步提高,高光谱遥感技术种类进一步丰富,图像、光谱、偏振多元信息一体化获取,智能化、网络化以及小型轻量化的发展趋势,可为中国高光谱遥感技术的进一步成熟化和实用化提供参考。
2021-05-23 13:47:41 1.02MB 综述 文献
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《高光谱遥感及其应用》——浦瑞良、宫鹏
2021-05-23 11:09:28 11.82MB 高光谱遥感
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完全用Excel函数写的包络线去除分析,仅实现了1850—2100nm的包络线去除,其他波段可自行扩展……
2021-05-19 10:39:42 316KB Excel 包络线 自动去除 高光谱遥感
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